From af44cecf27045522a53256240d106ae0be642b97 Mon Sep 17 00:00:00 2001 From: gAldeia Date: Wed, 23 Oct 2024 11:17:07 -0300 Subject: [PATCH] Updated outputs. Example on how to save checkpoints on saving_loading_populations --- docs/guide/bandits.ipynb | 9847 ++++++++++--------- docs/guide/saving_loading_populations.ipynb | 352 +- 2 files changed, 5177 insertions(+), 5022 deletions(-) diff --git a/docs/guide/bandits.ipynb b/docs/guide/bandits.ipynb index bc551479..4932e396 100644 --- a/docs/guide/bandits.ipynb +++ b/docs/guide/bandits.ipynb @@ -221,7003 +221,7003 @@ "text": [ "Generation 1/1000 [/ ]\n", "Train Loss (Med): 14.64283 (74.37033)\n", - "Val Loss (Med): 90.38513 (74.37033)\n", - "Median Size (Max): 3 (14)\n", - "Median complexity (Max): 20 (8264)\n", - "Time (s): 0.10304\n", + "Val Loss (Med): 90.38514 (74.37033)\n", + "Median Size (Max): 3 (27)\n", + "Median complexity (Max): 20 (17480)\n", + "Time (s): 0.13784\n", "\n", "Generation 2/1000 [/ ]\n", - "Train Loss (Med): 14.24093 (60.79966)\n", + "Train Loss (Med): 13.98484 (60.79966)\n", "Val Loss (Med): 14.64283 (60.79966)\n", - "Median Size (Max): 3 (18)\n", - "Median complexity (Max): 20 (8136)\n", - "Time (s): 0.21751\n", + "Median Size (Max): 3 (27)\n", + "Median complexity (Max): 20 (10680)\n", + "Time (s): 0.24813\n", "\n", "Generation 3/1000 [/ ]\n", - "Train Loss (Med): 14.12979 (60.79966)\n", - "Val Loss (Med): 14.24093 (60.79966)\n", - "Median Size (Max): 3 (18)\n", - "Median complexity (Max): 20 (8136)\n", - "Time (s): 0.31540\n", + "Train Loss (Med): 11.74184 (49.44722)\n", + "Val Loss (Med): 13.98484 (49.44722)\n", + "Median Size (Max): 3 (27)\n", + "Median complexity (Max): 20 (10680)\n", + "Time (s): 0.35731\n", "\n", "Generation 4/1000 [/ ]\n", - "Train Loss (Med): 11.41779 (17.94969)\n", - "Val Loss (Med): 14.12979 (17.94969)\n", - "Median Size (Max): 3 (18)\n", - "Median complexity (Max): 20 (8136)\n", - "Time (s): 0.43206\n", + "Train Loss (Med): 11.59586 (20.62672)\n", + "Val Loss (Med): 11.74184 (20.62672)\n", + "Median Size (Max): 3 (19)\n", + "Median complexity (Max): 20 (10392)\n", + "Time (s): 0.47598\n", "\n", "Generation 5/1000 [/ ]\n", - "Train Loss (Med): 11.41779 (17.94969)\n", - "Val Loss (Med): 11.41779 (17.94969)\n", - "Median Size (Max): 3 (18)\n", - "Median complexity (Max): 20 (8136)\n", - "Time (s): 0.59999\n", + "Train Loss (Med): 10.98771 (17.94969)\n", + "Val Loss (Med): 11.59586 (17.94969)\n", + "Median Size (Max): 3 (19)\n", + "Median complexity (Max): 20 (10392)\n", + "Time (s): 0.60409\n", "\n", "Generation 6/1000 [/ ]\n", - "Train Loss (Med): 11.03120 (17.94969)\n", - "Val Loss (Med): 11.41779 (17.94969)\n", - "Median Size (Max): 3 (18)\n", - "Median complexity (Max): 20 (8136)\n", - "Time (s): 0.76234\n", + "Train Loss (Med): 10.84173 (17.94969)\n", + "Val Loss (Med): 10.98771 (17.94969)\n", + "Median Size (Max): 3 (19)\n", + "Median complexity (Max): 20 (10392)\n", + "Time (s): 0.73477\n", "\n", "Generation 7/1000 [/ ]\n", - "Train Loss (Med): 11.03119 (17.94969)\n", - "Val Loss (Med): 11.03120 (17.94969)\n", - "Median Size (Max): 3 (18)\n", - "Median complexity (Max): 20 (8136)\n", - "Time (s): 0.89986\n", + "Train Loss (Med): 10.84173 (17.94969)\n", + "Val Loss (Med): 10.84173 (17.94969)\n", + "Median Size (Max): 3 (19)\n", + "Median complexity (Max): 20 (10392)\n", + "Time (s): 0.85206\n", "\n", "Generation 8/1000 [/ ]\n", - "Train Loss (Med): 11.03119 (17.94969)\n", - "Val Loss (Med): 11.03119 (17.94969)\n", - "Median Size (Max): 3 (18)\n", - "Median complexity (Max): 20 (8136)\n", - "Time (s): 1.02526\n", + "Train Loss (Med): 10.28156 (17.94969)\n", + "Val Loss (Med): 10.84173 (17.94969)\n", + "Median Size (Max): 3 (20)\n", + "Median complexity (Max): 20 (10408)\n", + "Time (s): 0.97316\n", "\n", "Generation 9/1000 [/ ]\n", - "Train Loss (Med): 11.03119 (17.85729)\n", - "Val Loss (Med): 11.03119 (17.85729)\n", - "Median Size (Max): 8 (18)\n", - "Median complexity (Max): 56 (8136)\n", - "Time (s): 1.14878\n", + "Train Loss (Med): 10.28155 (17.94969)\n", + "Val Loss (Med): 10.28156 (17.94969)\n", + "Median Size (Max): 3 (20)\n", + "Median complexity (Max): 20 (10408)\n", + "Time (s): 1.09511\n", "\n", "Generation 10/1000 [/ ]\n", - "Train Loss (Med): 10.44370 (14.64283)\n", - "Val Loss (Med): 11.03119 (14.64283)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 344 (8136)\n", - "Time (s): 1.26813\n", + "Train Loss (Med): 10.28155 (17.94969)\n", + "Val Loss (Med): 10.28155 (17.94969)\n", + "Median Size (Max): 3 (20)\n", + "Median complexity (Max): 20 (10408)\n", + "Time (s): 1.21567\n", "\n", "Generation 11/1000 [/ ]\n", - "Train Loss (Med): 10.44370 (14.63263)\n", - "Val Loss (Med): 10.44370 (14.63263)\n", - "Median Size (Max): 12 (20)\n", - "Median complexity (Max): 648 (8136)\n", - "Time (s): 1.39606\n", + "Train Loss (Med): 10.28155 (54.16741)\n", + "Val Loss (Med): 10.28155 (54.16741)\n", + "Median Size (Max): 3 (20)\n", + "Median complexity (Max): 16 (10408)\n", + "Time (s): 1.36301\n", "\n", "Generation 12/1000 [/ ]\n", - "Train Loss (Med): 10.44370 (16.25006)\n", - "Val Loss (Med): 10.44370 (16.25006)\n", - "Median Size (Max): 9 (18)\n", - "Median complexity (Max): 192 (7832)\n", - "Time (s): 1.51298\n", + "Train Loss (Med): 10.09177 (90.38513)\n", + "Val Loss (Med): 10.28155 (90.38513)\n", + "Median Size (Max): 1 (20)\n", + "Median complexity (Max): 2 (10392)\n", + "Time (s): 1.49559\n", "\n", "Generation 13/1000 [/ ]\n", - "Train Loss (Med): 10.44370 (14.47700)\n", - "Val Loss (Med): 10.44370 (14.47700)\n", - "Median Size (Max): 11 (20)\n", - "Median complexity (Max): 496 (7832)\n", - "Time (s): 1.63374\n", + "Train Loss (Med): 10.09177 (90.38513)\n", + "Val Loss (Med): 10.09177 (90.38513)\n", + "Median Size (Max): 1 (20)\n", + "Median complexity (Max): 2 (8576)\n", + "Time (s): 1.61490\n", "\n", "Generation 14/1000 [/ ]\n", - "Train Loss (Med): 10.05083 (14.64283)\n", - "Val Loss (Med): 10.44370 (14.64283)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 344 (7832)\n", - "Time (s): 1.74988\n", + "Train Loss (Med): 9.94542 (90.38513)\n", + "Val Loss (Med): 10.09177 (90.38513)\n", + "Median Size (Max): 1 (20)\n", + "Median complexity (Max): 2 (8576)\n", + "Time (s): 1.72524\n", "\n", "Generation 15/1000 [/ ]\n", - "Train Loss (Med): 10.05083 (14.64283)\n", - "Val Loss (Med): 10.05083 (14.64283)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 344 (7832)\n", - "Time (s): 1.87595\n", + "Train Loss (Med): 9.94542 (90.38513)\n", + "Val Loss (Med): 9.94542 (90.38513)\n", + "Median Size (Max): 1 (20)\n", + "Median complexity (Max): 2 (8576)\n", + "Time (s): 1.83575\n", "\n", "Generation 16/1000 [/ ]\n", - "Train Loss (Med): 10.05083 (14.64283)\n", - "Val Loss (Med): 10.05083 (14.64283)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 344 (7832)\n", - "Time (s): 1.99575\n", + "Train Loss (Med): 9.94542 (17.94969)\n", + "Val Loss (Med): 9.94542 (17.94969)\n", + "Median Size (Max): 3 (20)\n", + "Median complexity (Max): 20 (8576)\n", + "Time (s): 1.98041\n", "\n", "Generation 17/1000 [/ ]\n", - "Train Loss (Med): 10.05083 (14.64283)\n", - "Val Loss (Med): 10.05083 (14.64283)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 344 (7832)\n", - "Time (s): 2.11841\n", + "Train Loss (Med): 9.92837 (90.38513)\n", + "Val Loss (Med): 9.94542 (90.38513)\n", + "Median Size (Max): 1 (20)\n", + "Median complexity (Max): 3 (5960)\n", + "Time (s): 2.11561\n", "\n", "Generation 18/1000 [/ ]\n", - "Train Loss (Med): 10.05083 (14.64283)\n", - "Val Loss (Med): 10.05083 (14.64283)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 344 (7832)\n", - "Time (s): 2.23326\n", + "Train Loss (Med): 9.92837 (17.94969)\n", + "Val Loss (Med): 9.92837 (17.94969)\n", + "Median Size (Max): 3 (20)\n", + "Median complexity (Max): 20 (5960)\n", + "Time (s): 2.24203\n", "\n", "Generation 19/1000 [/ ]\n", - "Train Loss (Med): 10.05083 (14.31116)\n", - "Val Loss (Med): 10.05083 (14.31116)\n", - "Median Size (Max): 12 (20)\n", - "Median complexity (Max): 648 (7832)\n", - "Time (s): 2.34895\n", + "Train Loss (Med): 9.69424 (90.38513)\n", + "Val Loss (Med): 9.92837 (90.38513)\n", + "Median Size (Max): 1 (20)\n", + "Median complexity (Max): 2 (5960)\n", + "Time (s): 2.37463\n", "\n", "Generation 20/1000 [// ]\n", - "Train Loss (Med): 10.05083 (17.94969)\n", - "Val Loss (Med): 10.05083 (17.94969)\n", + "Train Loss (Med): 9.69424 (17.94969)\n", + "Val Loss (Med): 9.69424 (17.94969)\n", "Median Size (Max): 3 (20)\n", - "Median complexity (Max): 20 (7832)\n", - "Time (s): 2.47112\n", + "Median complexity (Max): 20 (5960)\n", + "Time (s): 2.49262\n", "\n", "Generation 21/1000 [// ]\n", - "Train Loss (Med): 10.05083 (17.94969)\n", - "Val Loss (Med): 10.05083 (17.94969)\n", + "Train Loss (Med): 9.69424 (17.94969)\n", + "Val Loss (Med): 9.69424 (17.94969)\n", "Median Size (Max): 3 (20)\n", - "Median complexity (Max): 20 (3848)\n", - "Time (s): 2.59272\n", + "Median complexity (Max): 20 (5960)\n", + "Time (s): 2.62165\n", "\n", "Generation 22/1000 [// ]\n", - "Train Loss (Med): 10.05083 (17.94969)\n", - "Val Loss (Med): 10.05083 (17.94969)\n", + "Train Loss (Med): 9.69424 (17.94969)\n", + "Val Loss (Med): 9.69424 (17.94969)\n", "Median Size (Max): 3 (20)\n", - "Median complexity (Max): 20 (5832)\n", - "Time (s): 2.70220\n", + "Median complexity (Max): 20 (5960)\n", + "Time (s): 2.75804\n", "\n", "Generation 23/1000 [// ]\n", - "Train Loss (Med): 10.05083 (17.94969)\n", - "Val Loss (Med): 10.05083 (17.94969)\n", + "Train Loss (Med): 9.69424 (17.94969)\n", + "Val Loss (Med): 9.69424 (17.94969)\n", "Median Size (Max): 3 (20)\n", - "Median complexity (Max): 20 (5832)\n", - "Time (s): 2.80078\n", + "Median complexity (Max): 20 (5960)\n", + "Time (s): 2.88921\n", "\n", "Generation 24/1000 [// ]\n", - "Train Loss (Med): 10.05083 (17.94969)\n", - "Val Loss (Med): 10.05083 (17.94969)\n", + "Train Loss (Med): 9.69424 (17.94969)\n", + "Val Loss (Med): 9.69424 (17.94969)\n", "Median Size (Max): 3 (20)\n", - "Median complexity (Max): 20 (5832)\n", - "Time (s): 5.91014\n", + "Median complexity (Max): 20 (5960)\n", + "Time (s): 3.04115\n", "\n", "Generation 25/1000 [// ]\n", - "Train Loss (Med): 10.05083 (17.94969)\n", - "Val Loss (Med): 10.05083 (17.94969)\n", + "Train Loss (Med): 9.69424 (17.94969)\n", + "Val Loss (Med): 9.69424 (17.94969)\n", "Median Size (Max): 3 (20)\n", - "Median complexity (Max): 20 (5832)\n", - "Time (s): 6.01159\n", + "Median complexity (Max): 20 (5960)\n", + "Time (s): 3.18238\n", "\n", "Generation 26/1000 [// ]\n", - "Train Loss (Med): 10.05083 (17.94969)\n", - "Val Loss (Med): 10.05083 (17.94969)\n", + "Train Loss (Med): 9.69424 (17.94969)\n", + "Val Loss (Med): 9.69424 (17.94969)\n", "Median Size (Max): 3 (20)\n", - "Median complexity (Max): 20 (5832)\n", - "Time (s): 6.12722\n", + "Median complexity (Max): 20 (5960)\n", + "Time (s): 3.31707\n", "\n", "Generation 27/1000 [// ]\n", - "Train Loss (Med): 10.05083 (17.94969)\n", - "Val Loss (Med): 10.05083 (17.94969)\n", + "Train Loss (Med): 9.69424 (17.94969)\n", + "Val Loss (Med): 9.69424 (17.94969)\n", "Median Size (Max): 3 (20)\n", - "Median complexity (Max): 20 (5832)\n", - "Time (s): 6.24000\n", + "Median complexity (Max): 20 (5960)\n", + "Time (s): 3.45061\n", "\n", "Generation 28/1000 [// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 6.36017\n", + "Train Loss (Med): 9.69424 (17.94969)\n", + "Val Loss (Med): 9.69424 (17.94969)\n", + "Median Size (Max): 3 (20)\n", + "Median complexity (Max): 20 (5960)\n", + "Time (s): 3.56595\n", "\n", "Generation 29/1000 [// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 6.48318\n", + "Train Loss (Med): 9.69424 (17.94969)\n", + "Val Loss (Med): 9.69424 (17.94969)\n", + "Median Size (Max): 3 (20)\n", + "Median complexity (Max): 20 (5960)\n", + "Time (s): 3.69345\n", "\n", "Generation 30/1000 [// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", + "Train Loss (Med): 9.69424 (17.85729)\n", + "Val Loss (Med): 9.69424 (17.85729)\n", "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 6.59866\n", + "Median complexity (Max): 40 (5960)\n", + "Time (s): 3.82629\n", "\n", "Generation 31/1000 [// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", + "Train Loss (Med): 9.69424 (17.85729)\n", + "Val Loss (Med): 9.69424 (17.85729)\n", "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 6.72035\n", + "Median complexity (Max): 40 (5960)\n", + "Time (s): 3.95695\n", "\n", "Generation 32/1000 [// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", + "Train Loss (Med): 9.69424 (17.85729)\n", + "Val Loss (Med): 9.69424 (17.85729)\n", "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 6.84124\n", + "Median complexity (Max): 40 (5960)\n", + "Time (s): 4.08922\n", "\n", "Generation 33/1000 [// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 6.95983\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 10 (20)\n", + "Median complexity (Max): 344 (5960)\n", + "Time (s): 4.23146\n", "\n", "Generation 34/1000 [// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 7.07381\n", + "Train Loss (Med): 9.69424 (16.25006)\n", + "Val Loss (Med): 9.69424 (16.25006)\n", + "Median Size (Max): 10 (20)\n", + "Median complexity (Max): 344 (5960)\n", + "Time (s): 4.36567\n", "\n", "Generation 35/1000 [// ]\n", - "Train Loss (Med): 10.05083 (17.90349)\n", - "Val Loss (Med): 10.05083 (17.90349)\n", - "Median Size (Max): 5 (20)\n", - "Median complexity (Max): 30 (5832)\n", - "Time (s): 7.18833\n", + "Train Loss (Med): 9.69424 (17.85729)\n", + "Val Loss (Med): 9.69424 (17.85729)\n", + "Median Size (Max): 8 (20)\n", + "Median complexity (Max): 40 (5960)\n", + "Time (s): 4.49719\n", "\n", "Generation 36/1000 [// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 7.29644\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 10 (20)\n", + "Median complexity (Max): 344 (5960)\n", + "Time (s): 4.63281\n", "\n", "Generation 37/1000 [// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 7.39771\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 10 (20)\n", + "Median complexity (Max): 344 (5960)\n", + "Time (s): 4.78878\n", "\n", "Generation 38/1000 [// ]\n", - "Train Loss (Med): 10.05083 (16.09922)\n", - "Val Loss (Med): 10.05083 (16.09922)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 280 (5832)\n", - "Time (s): 7.51866\n", + "Median complexity (Max): 344 (5960)\n", + "Time (s): 4.93635\n", "\n", "Generation 39/1000 [// ]\n", - "Train Loss (Med): 10.05083 (17.90349)\n", - "Val Loss (Med): 10.05083 (17.90349)\n", - "Median Size (Max): 5 (20)\n", - "Median complexity (Max): 30 (5832)\n", - "Time (s): 7.62674\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 10 (20)\n", + "Median complexity (Max): 344 (5960)\n", + "Time (s): 5.09018\n", "\n", "Generation 40/1000 [/// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 7.73365\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 10 (20)\n", + "Median complexity (Max): 344 (5960)\n", + "Time (s): 5.24612\n", "\n", "Generation 41/1000 [/// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 7.83733\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 10 (20)\n", + "Median complexity (Max): 344 (5960)\n", + "Time (s): 5.40823\n", "\n", "Generation 42/1000 [/// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 7.93913\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 10 (20)\n", + "Median complexity (Max): 344 (5960)\n", + "Time (s): 5.56832\n", "\n", "Generation 43/1000 [/// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 8.04436\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 10 (20)\n", + "Median complexity (Max): 344 (5960)\n", + "Time (s): 5.74274\n", "\n", "Generation 44/1000 [/// ]\n", - "Train Loss (Med): 10.05083 (17.70645)\n", - "Val Loss (Med): 10.05083 (17.70645)\n", - "Median Size (Max): 9 (20)\n", - "Median complexity (Max): 128 (5832)\n", - "Time (s): 8.15185\n", + "Train Loss (Med): 9.69424 (12.84507)\n", + "Val Loss (Med): 9.69424 (12.84507)\n", + "Median Size (Max): 12 (20)\n", + "Median complexity (Max): 504 (5960)\n", + "Time (s): 5.89908\n", "\n", "Generation 45/1000 [/// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 8.27006\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 10 (20)\n", + "Median complexity (Max): 344 (5960)\n", + "Time (s): 6.04706\n", "\n", "Generation 46/1000 [/// ]\n", - "Train Loss (Med): 10.05083 (17.55561)\n", - "Val Loss (Med): 10.05083 (17.55561)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 216 (5832)\n", - "Time (s): 8.38296\n", + "Median complexity (Max): 344 (5960)\n", + "Time (s): 6.19223\n", "\n", "Generation 47/1000 [/// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 8.50413\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 10 (20)\n", + "Median complexity (Max): 344 (5960)\n", + "Time (s): 6.31850\n", "\n", "Generation 48/1000 [/// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 192 (5832)\n", - "Time (s): 8.62848\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 10 (20)\n", + "Median complexity (Max): 344 (5960)\n", + "Time (s): 6.47314\n", "\n", "Generation 49/1000 [/// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 8.74710\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 10 (20)\n", + "Median complexity (Max): 344 (5960)\n", + "Time (s): 6.63110\n", "\n", "Generation 50/1000 [/// ]\n", - "Train Loss (Med): 10.05083 (17.55561)\n", - "Val Loss (Med): 10.05083 (17.55561)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 216 (5832)\n", - "Time (s): 8.86675\n", + "Median complexity (Max): 344 (5960)\n", + "Time (s): 6.78394\n", "\n", "Generation 51/1000 [/// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 8.98682\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 10 (20)\n", + "Median complexity (Max): 344 (5960)\n", + "Time (s): 6.95782\n", "\n", "Generation 52/1000 [/// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 9.10697\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 10 (20)\n", + "Median complexity (Max): 344 (5960)\n", + "Time (s): 7.11985\n", "\n", "Generation 53/1000 [/// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 9.23048\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 10 (20)\n", + "Median complexity (Max): 344 (5960)\n", + "Time (s): 7.27935\n", "\n", "Generation 54/1000 [/// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 9.35253\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 7.44926\n", "\n", "Generation 55/1000 [/// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 9.46881\n", + "Train Loss (Med): 9.69424 (12.84507)\n", + "Val Loss (Med): 9.69424 (12.84507)\n", + "Median Size (Max): 12 (20)\n", + "Median complexity (Max): 504 (5960)\n", + "Time (s): 7.62507\n", "\n", "Generation 56/1000 [/// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 9.60252\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 10 (20)\n", + "Median complexity (Max): 344 (5960)\n", + "Time (s): 7.77372\n", "\n", "Generation 57/1000 [/// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 9.72952\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 10 (20)\n", + "Median complexity (Max): 344 (5960)\n", + "Time (s): 7.91783\n", "\n", "Generation 58/1000 [/// ]\n", - "Train Loss (Med): 10.05083 (17.94969)\n", - "Val Loss (Med): 10.05083 (17.94969)\n", - "Median Size (Max): 3 (20)\n", - "Median complexity (Max): 20 (5832)\n", - "Time (s): 9.84515\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 10 (20)\n", + "Median complexity (Max): 344 (5960)\n", + "Time (s): 8.10945\n", "\n", "Generation 59/1000 [/// ]\n", - "Train Loss (Med): 10.05083 (17.94969)\n", - "Val Loss (Med): 10.05083 (17.94969)\n", - "Median Size (Max): 3 (20)\n", - "Median complexity (Max): 20 (5832)\n", - "Time (s): 9.95224\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 10 (20)\n", + "Median complexity (Max): 344 (5960)\n", + "Time (s): 8.31480\n", "\n", "Generation 60/1000 [//// ]\n", - "Train Loss (Med): 10.05083 (17.94969)\n", - "Val Loss (Med): 10.05083 (17.94969)\n", - "Median Size (Max): 5 (20)\n", - "Median complexity (Max): 20 (5832)\n", - "Time (s): 10.06556\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 10 (20)\n", + "Median complexity (Max): 344 (5960)\n", + "Time (s): 8.48354\n", "\n", "Generation 61/1000 [//// ]\n", - "Train Loss (Med): 10.05083 (17.94969)\n", - "Val Loss (Med): 10.05083 (17.94969)\n", - "Median Size (Max): 3 (20)\n", - "Median complexity (Max): 20 (5832)\n", - "Time (s): 10.18076\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 8.66270\n", "\n", "Generation 62/1000 [//// ]\n", - "Train Loss (Med): 10.05083 (17.94969)\n", - "Val Loss (Med): 10.05083 (17.94969)\n", - "Median Size (Max): 3 (20)\n", - "Median complexity (Max): 20 (5832)\n", - "Time (s): 10.28392\n", + "Train Loss (Med): 9.69424 (12.84507)\n", + "Val Loss (Med): 9.69424 (12.84507)\n", + "Median Size (Max): 12 (20)\n", + "Median complexity (Max): 504 (5960)\n", + "Time (s): 8.85758\n", "\n", "Generation 63/1000 [//// ]\n", - "Train Loss (Med): 10.05083 (17.94969)\n", - "Val Loss (Med): 10.05083 (17.94969)\n", - "Median Size (Max): 3 (20)\n", - "Median complexity (Max): 20 (5832)\n", - "Time (s): 10.38718\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 10 (20)\n", + "Median complexity (Max): 344 (5960)\n", + "Time (s): 9.04955\n", "\n", "Generation 64/1000 [//// ]\n", - "Train Loss (Med): 10.05083 (17.55561)\n", - "Val Loss (Med): 10.05083 (17.55561)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 216 (5832)\n", - "Time (s): 10.50051\n", + "Train Loss (Med): 9.69424 (17.85729)\n", + "Val Loss (Med): 9.69424 (17.85729)\n", + "Median Size (Max): 8 (20)\n", + "Median complexity (Max): 40 (5960)\n", + "Time (s): 9.25584\n", "\n", "Generation 65/1000 [//// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 10.61328\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 10 (20)\n", + "Median complexity (Max): 344 (5960)\n", + "Time (s): 9.43627\n", "\n", "Generation 66/1000 [//// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 10.73681\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 10 (20)\n", + "Median complexity (Max): 344 (5960)\n", + "Time (s): 9.64886\n", "\n", "Generation 67/1000 [//// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 10.85217\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 10 (20)\n", + "Median complexity (Max): 344 (5960)\n", + "Time (s): 9.86932\n", "\n", "Generation 68/1000 [//// ]\n", - "Train Loss (Med): 10.05083 (17.90349)\n", - "Val Loss (Med): 10.05083 (17.90349)\n", - "Median Size (Max): 5 (20)\n", - "Median complexity (Max): 30 (5832)\n", - "Time (s): 10.95950\n", + "Train Loss (Med): 9.69424 (12.84507)\n", + "Val Loss (Med): 9.69424 (12.84507)\n", + "Median Size (Max): 12 (20)\n", + "Median complexity (Max): 504 (5960)\n", + "Time (s): 10.10188\n", "\n", "Generation 69/1000 [//// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 11.06463\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 10.31409\n", "\n", "Generation 70/1000 [//// ]\n", - "Train Loss (Med): 10.05083 (16.09922)\n", - "Val Loss (Med): 10.05083 (16.09922)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 280 (5832)\n", - "Time (s): 11.17473\n", + "Median complexity (Max): 352 (5960)\n", + "Time (s): 10.52453\n", "\n", "Generation 71/1000 [//// ]\n", - "Train Loss (Med): 10.05083 (14.64283)\n", - "Val Loss (Med): 10.05083 (14.64283)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 344 (5832)\n", - "Time (s): 11.29642\n", + "Median complexity (Max): 352 (5960)\n", + "Time (s): 10.71263\n", "\n", "Generation 72/1000 [//// ]\n", - "Train Loss (Med): 10.05083 (14.64283)\n", - "Val Loss (Med): 10.05083 (14.64283)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 344 (5832)\n", - "Time (s): 11.41130\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 672 (5960)\n", + "Time (s): 10.91737\n", "\n", "Generation 73/1000 [//// ]\n", - "Train Loss (Med): 10.05083 (16.09922)\n", - "Val Loss (Med): 10.05083 (16.09922)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 280 (5832)\n", - "Time (s): 11.52372\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 11.14851\n", "\n", "Generation 74/1000 [//// ]\n", - "Train Loss (Med): 10.05083 (14.64283)\n", - "Val Loss (Med): 10.05083 (14.64283)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 344 (5832)\n", - "Time (s): 11.63470\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 11.33970\n", "\n", "Generation 75/1000 [//// ]\n", - "Train Loss (Med): 10.05083 (16.09922)\n", - "Val Loss (Med): 10.05083 (16.09922)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 280 (5832)\n", - "Time (s): 11.75070\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 11.52068\n", "\n", "Generation 76/1000 [//// ]\n", - "Train Loss (Med): 10.05083 (17.55561)\n", - "Val Loss (Med): 10.05083 (17.55561)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 216 (5832)\n", - "Time (s): 11.86119\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 11.68959\n", "\n", "Generation 77/1000 [//// ]\n", - "Train Loss (Med): 10.05083 (14.64283)\n", - "Val Loss (Med): 10.05083 (14.64283)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 344 (5832)\n", - "Time (s): 11.97290\n", + "Train Loss (Med): 9.69424 (12.84507)\n", + "Val Loss (Med): 9.69424 (12.84507)\n", + "Median Size (Max): 12 (20)\n", + "Median complexity (Max): 512 (5960)\n", + "Time (s): 11.86158\n", "\n", "Generation 78/1000 [//// ]\n", - "Train Loss (Med): 10.05083 (17.55561)\n", - "Val Loss (Med): 10.05083 (17.55561)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 216 (5832)\n", - "Time (s): 12.08826\n", + "Median complexity (Max): 352 (5960)\n", + "Time (s): 12.02762\n", "\n", "Generation 79/1000 [//// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 12.19205\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 10 (20)\n", + "Median complexity (Max): 352 (5960)\n", + "Time (s): 12.19745\n", "\n", "Generation 80/1000 [///// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 12.30637\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 12.35053\n", "\n", "Generation 81/1000 [///// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 12.41448\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 12.50994\n", "\n", "Generation 82/1000 [///// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 12.52949\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 12.67240\n", "\n", "Generation 83/1000 [///// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 12.64513\n", + "Train Loss (Med): 9.69424 (12.84507)\n", + "Val Loss (Med): 9.69424 (12.84507)\n", + "Median Size (Max): 12 (20)\n", + "Median complexity (Max): 512 (5960)\n", + "Time (s): 12.82543\n", "\n", "Generation 84/1000 [///// ]\n", - "Train Loss (Med): 10.05083 (16.09922)\n", - "Val Loss (Med): 10.05083 (16.09922)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 280 (5832)\n", - "Time (s): 12.76397\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 12.99642\n", "\n", "Generation 85/1000 [///// ]\n", - "Train Loss (Med): 10.05083 (14.64283)\n", - "Val Loss (Med): 10.05083 (14.64283)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 344 (5832)\n", - "Time (s): 12.88089\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 13.15127\n", "\n", "Generation 86/1000 [///// ]\n", - "Train Loss (Med): 10.05083 (17.55561)\n", - "Val Loss (Med): 10.05083 (17.55561)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 216 (5832)\n", - "Time (s): 12.99193\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 13.33966\n", "\n", "Generation 87/1000 [///// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 13.09867\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 672 (5960)\n", + "Time (s): 13.51158\n", "\n", "Generation 88/1000 [///// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 13.21924\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 13.65899\n", "\n", "Generation 89/1000 [///// ]\n", - "Train Loss (Med): 10.05083 (17.70645)\n", - "Val Loss (Med): 10.05083 (17.70645)\n", - "Median Size (Max): 9 (20)\n", - "Median complexity (Max): 128 (5832)\n", - "Time (s): 13.33262\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 13.80970\n", "\n", "Generation 90/1000 [///// ]\n", - "Train Loss (Med): 10.05083 (17.70645)\n", - "Val Loss (Med): 10.05083 (17.70645)\n", - "Median Size (Max): 9 (20)\n", - "Median complexity (Max): 128 (5832)\n", - "Time (s): 13.44425\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 10 (20)\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 13.96429\n", "\n", "Generation 91/1000 [///// ]\n", - "Train Loss (Med): 10.05083 (17.55561)\n", - "Val Loss (Med): 10.05083 (17.55561)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 216 (5832)\n", - "Time (s): 13.55822\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 14.10405\n", "\n", "Generation 92/1000 [///// ]\n", - "Train Loss (Med): 10.05083 (17.94969)\n", - "Val Loss (Med): 10.05083 (17.94969)\n", - "Median Size (Max): 3 (20)\n", - "Median complexity (Max): 20 (5832)\n", - "Time (s): 13.66435\n", + "Train Loss (Med): 9.69424 (12.84507)\n", + "Val Loss (Med): 9.69424 (12.84507)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 14.24271\n", "\n", "Generation 93/1000 [///// ]\n", - "Train Loss (Med): 10.05083 (17.94969)\n", - "Val Loss (Med): 10.05083 (17.94969)\n", - "Median Size (Max): 5 (20)\n", - "Median complexity (Max): 20 (5832)\n", - "Time (s): 13.77090\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 14.38498\n", "\n", "Generation 94/1000 [///// ]\n", - "Train Loss (Med): 10.05083 (17.90349)\n", - "Val Loss (Med): 10.05083 (17.90349)\n", - "Median Size (Max): 5 (20)\n", - "Median complexity (Max): 30 (5832)\n", - "Time (s): 13.87367\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 672 (5960)\n", + "Time (s): 14.53312\n", "\n", "Generation 95/1000 [///// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 13.97595\n", + "Train Loss (Med): 9.69424 (12.84507)\n", + "Val Loss (Med): 9.69424 (12.84507)\n", + "Median Size (Max): 12 (20)\n", + "Median complexity (Max): 512 (5960)\n", + "Time (s): 14.68427\n", "\n", "Generation 96/1000 [///// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 14.08846\n", + "Train Loss (Med): 9.69424 (12.84507)\n", + "Val Loss (Med): 9.69424 (12.84507)\n", + "Median Size (Max): 12 (20)\n", + "Median complexity (Max): 512 (5960)\n", + "Time (s): 14.83689\n", "\n", "Generation 97/1000 [///// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 14.20443\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 10 (20)\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 15.00696\n", "\n", "Generation 98/1000 [///// ]\n", - "Train Loss (Med): 10.05083 (17.55561)\n", - "Val Loss (Med): 10.05083 (17.55561)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 216 (5832)\n", - "Time (s): 14.31516\n", + "Train Loss (Med): 9.69424 (12.84507)\n", + "Val Loss (Med): 9.69424 (12.84507)\n", + "Median Size (Max): 12 (20)\n", + "Median complexity (Max): 512 (5960)\n", + "Time (s): 15.17808\n", "\n", "Generation 99/1000 [///// ]\n", - "Train Loss (Med): 10.05083 (14.64283)\n", - "Val Loss (Med): 10.05083 (14.64283)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 344 (5832)\n", - "Time (s): 14.43469\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 672 (5960)\n", + "Time (s): 15.33729\n", "\n", "Generation 100/1000 [////// ]\n", - "Train Loss (Med): 10.05083 (16.09922)\n", - "Val Loss (Med): 10.05083 (16.09922)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 280 (5832)\n", - "Time (s): 14.55423\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 15.51918\n", "\n", "Generation 101/1000 [////// ]\n", - "Train Loss (Med): 10.05083 (17.55561)\n", - "Val Loss (Med): 10.05083 (17.55561)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 216 (5832)\n", - "Time (s): 14.67642\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 15.69461\n", "\n", "Generation 102/1000 [////// ]\n", - "Train Loss (Med): 10.05083 (14.64283)\n", - "Val Loss (Med): 10.05083 (14.64283)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 344 (5832)\n", - "Time (s): 14.79810\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 15.88399\n", "\n", "Generation 103/1000 [////// ]\n", - "Train Loss (Med): 10.05083 (16.09922)\n", - "Val Loss (Med): 10.05083 (16.09922)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 280 (5832)\n", - "Time (s): 14.90933\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 672 (5960)\n", + "Time (s): 16.07554\n", "\n", "Generation 104/1000 [////// ]\n", - "Train Loss (Med): 10.05083 (14.64283)\n", - "Val Loss (Med): 10.05083 (14.64283)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 344 (5832)\n", - "Time (s): 15.02393\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 16.26293\n", "\n", "Generation 105/1000 [////// ]\n", - "Train Loss (Med): 10.05083 (14.64283)\n", - "Val Loss (Med): 10.05083 (14.64283)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 344 (5832)\n", - "Time (s): 15.13081\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 672 (5960)\n", + "Time (s): 16.44654\n", "\n", "Generation 106/1000 [////// ]\n", - "Train Loss (Med): 10.05083 (14.64283)\n", - "Val Loss (Med): 10.05083 (14.64283)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 344 (5832)\n", - "Time (s): 15.25988\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 672 (5960)\n", + "Time (s): 16.61093\n", "\n", "Generation 107/1000 [////// ]\n", - "Train Loss (Med): 10.05083 (14.64283)\n", - "Val Loss (Med): 10.05083 (14.64283)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 344 (5832)\n", - "Time (s): 15.36241\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 672 (5960)\n", + "Time (s): 16.77884\n", "\n", "Generation 108/1000 [////// ]\n", - "Train Loss (Med): 10.05083 (14.64283)\n", - "Val Loss (Med): 10.05083 (14.64283)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 344 (5832)\n", - "Time (s): 15.46792\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 16.94125\n", "\n", "Generation 109/1000 [////// ]\n", - "Train Loss (Med): 10.05083 (14.64283)\n", - "Val Loss (Med): 10.05083 (14.64283)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 344 (5832)\n", - "Time (s): 15.59017\n", + "Train Loss (Med): 9.69424 (12.84507)\n", + "Val Loss (Med): 9.69424 (12.84507)\n", + "Median Size (Max): 12 (20)\n", + "Median complexity (Max): 512 (5960)\n", + "Time (s): 17.10456\n", "\n", "Generation 110/1000 [////// ]\n", - "Train Loss (Med): 10.05083 (17.55561)\n", - "Val Loss (Med): 10.05083 (17.55561)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 216 (5832)\n", - "Time (s): 15.69831\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 17.26098\n", "\n", "Generation 111/1000 [////// ]\n", - "Train Loss (Med): 10.05083 (17.52815)\n", - "Val Loss (Med): 10.05083 (17.52815)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 264 (5832)\n", - "Time (s): 15.80267\n", + "Median complexity (Max): 512 (5960)\n", + "Time (s): 17.44769\n", "\n", "Generation 112/1000 [////// ]\n", - "Train Loss (Med): 10.05083 (14.64283)\n", - "Val Loss (Med): 10.05083 (14.64283)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 344 (5832)\n", - "Time (s): 15.91882\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 17.61195\n", "\n", "Generation 113/1000 [////// ]\n", - "Train Loss (Med): 10.05083 (17.52815)\n", - "Val Loss (Med): 10.05083 (17.52815)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 264 (5832)\n", - "Time (s): 16.03128\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 17.84802\n", "\n", "Generation 114/1000 [////// ]\n", - "Train Loss (Med): 10.05083 (17.54188)\n", - "Val Loss (Med): 10.05083 (17.54188)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 240 (5832)\n", - "Time (s): 16.14572\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 18.08520\n", "\n", "Generation 115/1000 [////// ]\n", - "Train Loss (Med): 10.05083 (17.54188)\n", - "Val Loss (Med): 10.05083 (17.54188)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 240 (5832)\n", - "Time (s): 16.24937\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 18.28392\n", "\n", "Generation 116/1000 [////// ]\n", - "Train Loss (Med): 10.05083 (17.54188)\n", - "Val Loss (Med): 10.05083 (17.54188)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 264 (5832)\n", - "Time (s): 16.36073\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 18.48040\n", "\n", "Generation 117/1000 [////// ]\n", - "Train Loss (Med): 10.05083 (17.54188)\n", - "Val Loss (Med): 10.05083 (17.54188)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 240 (5832)\n", - "Time (s): 16.48240\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 18.71404\n", "\n", "Generation 118/1000 [////// ]\n", - "Train Loss (Med): 10.05083 (17.54188)\n", - "Val Loss (Med): 10.05083 (17.54188)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 240 (5832)\n", - "Time (s): 16.59398\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 18.96102\n", "\n", "Generation 119/1000 [////// ]\n", - "Train Loss (Med): 10.05083 (17.52815)\n", - "Val Loss (Med): 10.05083 (17.52815)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 264 (5832)\n", - "Time (s): 16.70613\n", + "Train Loss (Med): 9.69424 (12.84507)\n", + "Val Loss (Med): 9.69424 (12.84507)\n", + "Median Size (Max): 12 (20)\n", + "Median complexity (Max): 512 (5960)\n", + "Time (s): 19.20142\n", "\n", "Generation 120/1000 [/////// ]\n", - "Train Loss (Med): 10.05083 (17.52815)\n", - "Val Loss (Med): 10.05083 (17.52815)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 264 (5832)\n", - "Time (s): 16.81546\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 19.43614\n", "\n", "Generation 121/1000 [/////// ]\n", - "Train Loss (Med): 10.05083 (17.52815)\n", - "Val Loss (Med): 10.05083 (17.52815)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 264 (5832)\n", - "Time (s): 16.92937\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 19.74517\n", "\n", "Generation 122/1000 [/////// ]\n", - "Train Loss (Med): 10.05083 (14.64283)\n", - "Val Loss (Med): 10.05083 (14.64283)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 344 (5832)\n", - "Time (s): 17.04804\n", + "Train Loss (Med): 9.69424 (12.84507)\n", + "Val Loss (Med): 9.69424 (12.84507)\n", + "Median Size (Max): 12 (20)\n", + "Median complexity (Max): 512 (5960)\n", + "Time (s): 19.94898\n", "\n", "Generation 123/1000 [/////// ]\n", - "Train Loss (Med): 10.05083 (14.64283)\n", - "Val Loss (Med): 10.05083 (14.64283)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 344 (5832)\n", - "Time (s): 17.15591\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 20.14537\n", "\n", "Generation 124/1000 [/////// ]\n", - "Train Loss (Med): 10.05083 (17.52815)\n", - "Val Loss (Med): 10.05083 (17.52815)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 264 (5832)\n", - "Time (s): 17.27019\n", + "Median complexity (Max): 352 (5960)\n", + "Time (s): 20.32484\n", "\n", "Generation 125/1000 [/////// ]\n", - "Train Loss (Med): 10.05083 (17.54188)\n", - "Val Loss (Med): 10.05083 (17.54188)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 240 (5832)\n", - "Time (s): 17.37403\n", + "Median complexity (Max): 344 (5960)\n", + "Time (s): 20.56404\n", "\n", "Generation 126/1000 [/////// ]\n", - "Train Loss (Med): 10.05083 (17.55561)\n", - "Val Loss (Med): 10.05083 (17.55561)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 216 (5832)\n", - "Time (s): 17.48618\n", + "Median complexity (Max): 344 (5960)\n", + "Time (s): 20.82104\n", "\n", "Generation 127/1000 [/////// ]\n", - "Train Loss (Med): 10.05083 (17.55561)\n", - "Val Loss (Med): 10.05083 (17.55561)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 216 (5832)\n", - "Time (s): 17.59487\n", + "Median complexity (Max): 344 (5960)\n", + "Time (s): 21.03391\n", "\n", "Generation 128/1000 [/////// ]\n", - "Train Loss (Med): 10.05083 (17.52815)\n", - "Val Loss (Med): 10.05083 (17.52815)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 264 (5832)\n", - "Time (s): 17.70548\n", + "Median complexity (Max): 344 (5960)\n", + "Time (s): 21.22532\n", "\n", "Generation 129/1000 [/////// ]\n", - "Train Loss (Med): 10.05083 (16.08549)\n", - "Val Loss (Med): 10.05083 (16.08549)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 304 (5832)\n", - "Time (s): 17.82039\n", + "Median complexity (Max): 352 (5960)\n", + "Time (s): 21.44587\n", "\n", "Generation 130/1000 [/////// ]\n", - "Train Loss (Med): 10.05083 (16.08549)\n", - "Val Loss (Med): 10.05083 (16.08549)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 304 (5832)\n", - "Time (s): 17.94646\n", + "Median complexity (Max): 512 (5960)\n", + "Time (s): 21.61218\n", "\n", "Generation 131/1000 [/////// ]\n", - "Train Loss (Med): 10.05083 (14.64283)\n", - "Val Loss (Med): 10.05083 (14.64283)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 344 (5832)\n", - "Time (s): 18.06698\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 21.78456\n", "\n", "Generation 132/1000 [/////// ]\n", - "Train Loss (Med): 10.05083 (17.52815)\n", - "Val Loss (Med): 10.05083 (17.52815)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 264 (5832)\n", - "Time (s): 18.18044\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 21.93737\n", "\n", "Generation 133/1000 [/////// ]\n", - "Train Loss (Med): 10.05083 (17.52815)\n", - "Val Loss (Med): 10.05083 (17.52815)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 264 (5832)\n", - "Time (s): 18.29598\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 22.09334\n", "\n", "Generation 134/1000 [/////// ]\n", - "Train Loss (Med): 10.05083 (16.08549)\n", - "Val Loss (Med): 10.05083 (16.08549)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 304 (5832)\n", - "Time (s): 18.41165\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 22.24067\n", "\n", "Generation 135/1000 [/////// ]\n", - "Train Loss (Med): 10.05083 (17.52815)\n", - "Val Loss (Med): 10.05083 (17.52815)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 264 (5832)\n", - "Time (s): 18.52282\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 22.40331\n", "\n", "Generation 136/1000 [/////// ]\n", - "Train Loss (Med): 10.05083 (17.52815)\n", - "Val Loss (Med): 10.05083 (17.52815)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 264 (5832)\n", - "Time (s): 18.63284\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 22.55481\n", "\n", "Generation 137/1000 [/////// ]\n", - "Train Loss (Med): 10.05083 (17.54188)\n", - "Val Loss (Med): 10.05083 (17.54188)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 240 (5832)\n", - "Time (s): 18.74563\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 22.70473\n", "\n", "Generation 138/1000 [/////// ]\n", - "Train Loss (Med): 10.05083 (17.52815)\n", - "Val Loss (Med): 10.05083 (17.52815)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 264 (5832)\n", - "Time (s): 18.85639\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 22.85105\n", "\n", "Generation 139/1000 [/////// ]\n", - "Train Loss (Med): 10.05083 (17.52815)\n", - "Val Loss (Med): 10.05083 (17.52815)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 264 (5832)\n", - "Time (s): 18.97672\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 23.00138\n", "\n", "Generation 140/1000 [//////// ]\n", - "Train Loss (Med): 10.05083 (16.08549)\n", - "Val Loss (Med): 10.05083 (16.08549)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 304 (5832)\n", - "Time (s): 19.09725\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 23.16118\n", "\n", "Generation 141/1000 [//////// ]\n", - "Train Loss (Med): 10.05083 (14.64283)\n", - "Val Loss (Med): 10.05083 (14.64283)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 344 (5832)\n", - "Time (s): 19.21535\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 23.30608\n", "\n", "Generation 142/1000 [//////// ]\n", - "Train Loss (Med): 10.05083 (17.52815)\n", - "Val Loss (Med): 10.05083 (17.52815)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 264 (5832)\n", - "Time (s): 19.33229\n", + "Train Loss (Med): 9.69424 (12.84507)\n", + "Val Loss (Med): 9.69424 (12.84507)\n", + "Median Size (Max): 12 (20)\n", + "Median complexity (Max): 512 (5960)\n", + "Time (s): 23.44156\n", "\n", "Generation 143/1000 [//////// ]\n", - "Train Loss (Med): 10.05083 (17.52815)\n", - "Val Loss (Med): 10.05083 (17.52815)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 264 (5832)\n", - "Time (s): 19.46853\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 23.58480\n", "\n", "Generation 144/1000 [//////// ]\n", - "Train Loss (Med): 10.05083 (17.52815)\n", - "Val Loss (Med): 10.05083 (17.52815)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 264 (5832)\n", - "Time (s): 19.58406\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 23.73448\n", "\n", "Generation 145/1000 [//////// ]\n", - "Train Loss (Med): 10.05083 (17.52815)\n", - "Val Loss (Med): 10.05083 (17.52815)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 264 (5832)\n", - "Time (s): 19.69694\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 23.88003\n", "\n", "Generation 146/1000 [//////// ]\n", - "Train Loss (Med): 10.05083 (17.52815)\n", - "Val Loss (Med): 10.05083 (17.52815)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 264 (5832)\n", - "Time (s): 19.81554\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 24.01998\n", "\n", "Generation 147/1000 [//////// ]\n", - "Train Loss (Med): 10.05083 (17.55561)\n", - "Val Loss (Med): 10.05083 (17.55561)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 216 (5832)\n", - "Time (s): 19.92853\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 24.16357\n", "\n", "Generation 148/1000 [//////// ]\n", - "Train Loss (Med): 10.05083 (17.52815)\n", - "Val Loss (Med): 10.05083 (17.52815)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 264 (5832)\n", - "Time (s): 20.04441\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 24.32068\n", "\n", "Generation 149/1000 [//////// ]\n", - "Train Loss (Med): 10.05083 (17.52815)\n", - "Val Loss (Med): 10.05083 (17.52815)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 264 (5832)\n", - "Time (s): 20.15724\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 24.47091\n", "\n", "Generation 150/1000 [//////// ]\n", - "Train Loss (Med): 10.05083 (17.52815)\n", - "Val Loss (Med): 10.05083 (17.52815)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 264 (5832)\n", - "Time (s): 20.26645\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 24.61299\n", "\n", "Generation 151/1000 [//////// ]\n", - "Train Loss (Med): 10.05083 (17.70645)\n", - "Val Loss (Med): 10.05083 (17.70645)\n", - "Median Size (Max): 9 (20)\n", - "Median complexity (Max): 128 (5832)\n", - "Time (s): 20.37947\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 672 (5960)\n", + "Time (s): 24.75622\n", "\n", "Generation 152/1000 [//////// ]\n", - "Train Loss (Med): 10.05083 (17.52815)\n", - "Val Loss (Med): 10.05083 (17.52815)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 264 (5832)\n", - "Time (s): 20.48408\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 24.90124\n", "\n", "Generation 153/1000 [//////// ]\n", - "Train Loss (Med): 10.05083 (17.54188)\n", - "Val Loss (Med): 10.05083 (17.54188)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 240 (5832)\n", - "Time (s): 20.59122\n", + "Train Loss (Med): 9.69424 (12.84507)\n", + "Val Loss (Med): 9.69424 (12.84507)\n", + "Median Size (Max): 12 (20)\n", + "Median complexity (Max): 512 (5960)\n", + "Time (s): 25.04350\n", "\n", "Generation 154/1000 [//////// ]\n", - "Train Loss (Med): 10.05083 (17.54188)\n", - "Val Loss (Med): 10.05083 (17.54188)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 264 (5832)\n", - "Time (s): 20.70139\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 25.18790\n", "\n", "Generation 155/1000 [//////// ]\n", - "Train Loss (Med): 10.05083 (17.70645)\n", - "Val Loss (Med): 10.05083 (17.70645)\n", - "Median Size (Max): 9 (20)\n", - "Median complexity (Max): 128 (5832)\n", - "Time (s): 20.80601\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 10 (20)\n", + "Median complexity (Max): 352 (5960)\n", + "Time (s): 25.34472\n", "\n", "Generation 156/1000 [//////// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 20.91551\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 10 (20)\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 25.49670\n", "\n", "Generation 157/1000 [//////// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 128 (5832)\n", - "Time (s): 21.02170\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 10 (20)\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 25.65325\n", "\n", "Generation 158/1000 [//////// ]\n", - "Train Loss (Med): 10.05083 (17.52815)\n", - "Val Loss (Med): 10.05083 (17.52815)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 264 (5832)\n", - "Time (s): 21.12899\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 25.79146\n", "\n", "Generation 159/1000 [//////// ]\n", - "Train Loss (Med): 10.05083 (17.52815)\n", - "Val Loss (Med): 10.05083 (17.52815)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 264 (5832)\n", - "Time (s): 21.23180\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 672 (5960)\n", + "Time (s): 25.94439\n", "\n", "Generation 160/1000 [///////// ]\n", - "Train Loss (Med): 10.05083 (17.55561)\n", - "Val Loss (Med): 10.05083 (17.55561)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 216 (5832)\n", - "Time (s): 21.33795\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 26.10011\n", "\n", "Generation 161/1000 [///////// ]\n", - "Train Loss (Med): 10.05083 (17.52815)\n", - "Val Loss (Med): 10.05083 (17.52815)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 264 (5832)\n", - "Time (s): 21.45035\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 26.23867\n", "\n", "Generation 162/1000 [///////// ]\n", - "Train Loss (Med): 10.05083 (17.52815)\n", - "Val Loss (Med): 10.05083 (17.52815)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 264 (5832)\n", - "Time (s): 21.56970\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 26.36944\n", "\n", "Generation 163/1000 [///////// ]\n", - "Train Loss (Med): 10.05083 (17.52815)\n", - "Val Loss (Med): 10.05083 (17.52815)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 264 (5832)\n", - "Time (s): 21.68037\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 26.50880\n", "\n", "Generation 164/1000 [///////// ]\n", - "Train Loss (Med): 10.05083 (14.64283)\n", - "Val Loss (Med): 10.05083 (14.64283)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 344 (5832)\n", - "Time (s): 21.78999\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 26.64238\n", "\n", "Generation 165/1000 [///////// ]\n", - "Train Loss (Med): 10.05083 (17.70645)\n", - "Val Loss (Med): 10.05083 (17.70645)\n", - "Median Size (Max): 9 (20)\n", - "Median complexity (Max): 128 (5832)\n", - "Time (s): 21.90222\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 26.78872\n", "\n", "Generation 166/1000 [///////// ]\n", - "Train Loss (Med): 10.05083 (17.55561)\n", - "Val Loss (Med): 10.05083 (17.55561)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 216 (5832)\n", - "Time (s): 22.01526\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 26.93020\n", "\n", "Generation 167/1000 [///////// ]\n", - "Train Loss (Med): 10.05083 (17.54188)\n", - "Val Loss (Med): 10.05083 (17.54188)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 240 (5832)\n", - "Time (s): 22.12190\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 27.07400\n", "\n", "Generation 168/1000 [///////// ]\n", - "Train Loss (Med): 10.05083 (17.70645)\n", - "Val Loss (Med): 10.05083 (17.70645)\n", - "Median Size (Max): 9 (20)\n", - "Median complexity (Max): 128 (5832)\n", - "Time (s): 22.23105\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 27.22502\n", "\n", "Generation 169/1000 [///////// ]\n", - "Train Loss (Med): 10.05083 (17.52815)\n", - "Val Loss (Med): 10.05083 (17.52815)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 264 (5832)\n", - "Time (s): 22.35139\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 27.37304\n", "\n", "Generation 170/1000 [///////// ]\n", - "Train Loss (Med): 10.05083 (17.52815)\n", - "Val Loss (Med): 10.05083 (17.52815)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 264 (5832)\n", - "Time (s): 22.46710\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 27.52457\n", "\n", "Generation 171/1000 [///////// ]\n", - "Train Loss (Med): 10.05083 (14.64283)\n", - "Val Loss (Med): 10.05083 (14.64283)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 344 (5832)\n", - "Time (s): 22.57908\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 27.66798\n", "\n", "Generation 172/1000 [///////// ]\n", - "Train Loss (Med): 10.05083 (17.52815)\n", - "Val Loss (Med): 10.05083 (17.52815)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 264 (5832)\n", - "Time (s): 22.70174\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 27.82758\n", "\n", "Generation 173/1000 [///////// ]\n", - "Train Loss (Med): 10.05083 (14.64283)\n", - "Val Loss (Med): 10.05083 (14.64283)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 360 (5832)\n", - "Time (s): 22.82329\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 27.99733\n", "\n", "Generation 174/1000 [///////// ]\n", - "Train Loss (Med): 10.05083 (14.64283)\n", - "Val Loss (Med): 10.05083 (14.64283)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 352 (5832)\n", - "Time (s): 22.95199\n", + "Train Loss (Med): 9.69424 (12.84507)\n", + "Val Loss (Med): 9.69424 (12.84507)\n", + "Median Size (Max): 12 (20)\n", + "Median complexity (Max): 512 (5960)\n", + "Time (s): 28.15730\n", "\n", "Generation 175/1000 [///////// ]\n", - "Train Loss (Med): 10.05083 (14.64283)\n", - "Val Loss (Med): 10.05083 (14.64283)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 344 (5832)\n", - "Time (s): 23.07281\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 28.38163\n", "\n", "Generation 176/1000 [///////// ]\n", - "Train Loss (Med): 10.05083 (14.64283)\n", - "Val Loss (Med): 10.05083 (14.64283)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 352 (5832)\n", - "Time (s): 23.20546\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 28.57299\n", "\n", "Generation 177/1000 [///////// ]\n", - "Train Loss (Med): 10.05083 (14.64283)\n", - "Val Loss (Med): 10.05083 (14.64283)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 352 (5832)\n", - "Time (s): 23.34119\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 28.75752\n", "\n", "Generation 178/1000 [///////// ]\n", - "Train Loss (Med): 10.05083 (14.64283)\n", - "Val Loss (Med): 10.05083 (14.64283)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 344 (5832)\n", - "Time (s): 23.51339\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 29.01674\n", "\n", "Generation 179/1000 [///////// ]\n", - "Train Loss (Med): 10.05083 (17.40466)\n", - "Val Loss (Med): 10.05083 (17.40466)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 236 (5832)\n", - "Time (s): 23.65965\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 29.19506\n", "\n", "Generation 180/1000 [////////// ]\n", - "Train Loss (Med): 10.05083 (16.02375)\n", - "Val Loss (Med): 10.05083 (16.02375)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 236 (5832)\n", - "Time (s): 23.82748\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 29.39498\n", "\n", "Generation 181/1000 [////////// ]\n", - "Train Loss (Med): 10.05083 (17.40466)\n", - "Val Loss (Med): 10.05083 (17.40466)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 129 (5832)\n", - "Time (s): 24.06148\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 29.59548\n", "\n", "Generation 182/1000 [////////// ]\n", - "Train Loss (Med): 10.05083 (16.02375)\n", - "Val Loss (Med): 10.05083 (16.02375)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 236 (5832)\n", - "Time (s): 24.23461\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 29.83912\n", "\n", "Generation 183/1000 [////////// ]\n", - "Train Loss (Med): 10.05083 (17.40466)\n", - "Val Loss (Med): 10.05083 (17.40466)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 129 (5832)\n", - "Time (s): 24.39125\n", + "Train Loss (Med): 9.69424 (12.84507)\n", + "Val Loss (Med): 9.69424 (12.84507)\n", + "Median Size (Max): 12 (20)\n", + "Median complexity (Max): 512 (5960)\n", + "Time (s): 30.05236\n", "\n", "Generation 184/1000 [////////// ]\n", - "Train Loss (Med): 10.05083 (16.02375)\n", - "Val Loss (Med): 10.05083 (16.02375)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 236 (5832)\n", - "Time (s): 24.53428\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 672 (5960)\n", + "Time (s): 30.25283\n", "\n", "Generation 185/1000 [////////// ]\n", - "Train Loss (Med): 10.05083 (14.64283)\n", - "Val Loss (Med): 10.05083 (14.64283)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 344 (5832)\n", - "Time (s): 24.67517\n", + "Train Loss (Med): 9.69424 (12.84507)\n", + "Val Loss (Med): 9.69424 (12.84507)\n", + "Median Size (Max): 12 (20)\n", + "Median complexity (Max): 512 (5960)\n", + "Time (s): 30.46401\n", "\n", "Generation 186/1000 [////////// ]\n", - "Train Loss (Med): 10.05083 (14.64283)\n", - "Val Loss (Med): 10.05083 (14.64283)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 344 (5832)\n", - "Time (s): 24.80398\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 30.67697\n", "\n", "Generation 187/1000 [////////// ]\n", - "Train Loss (Med): 10.05083 (14.64283)\n", - "Val Loss (Med): 10.05083 (14.64283)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 344 (5832)\n", - "Time (s): 24.93208\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 30.92607\n", "\n", "Generation 188/1000 [////////// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 25.05319\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 10 (20)\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 31.16116\n", "\n", "Generation 189/1000 [////////// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 25.17509\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 10 (20)\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 31.35239\n", "\n", "Generation 190/1000 [////////// ]\n", - "Train Loss (Med): 10.05083 (17.63098)\n", - "Val Loss (Med): 10.05083 (17.63098)\n", - "Median Size (Max): 9 (20)\n", - "Median complexity (Max): 84 (5832)\n", - "Time (s): 25.28511\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 10 (20)\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 30.74776\n", "\n", "Generation 191/1000 [////////// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 25.40413\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 10 (20)\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 30.93381\n", "\n", "Generation 192/1000 [////////// ]\n", - "Train Loss (Med): 10.05083 (17.63098)\n", - "Val Loss (Med): 10.05083 (17.63098)\n", - "Median Size (Max): 9 (20)\n", - "Median complexity (Max): 84 (5832)\n", - "Time (s): 25.51399\n", + "Train Loss (Med): 9.69424 (12.84507)\n", + "Val Loss (Med): 9.69424 (12.84507)\n", + "Median Size (Max): 12 (20)\n", + "Median complexity (Max): 512 (5960)\n", + "Time (s): 31.13630\n", "\n", "Generation 193/1000 [////////// ]\n", - "Train Loss (Med): 10.05083 (17.40466)\n", - "Val Loss (Med): 10.05083 (17.40466)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 129 (5832)\n", - "Time (s): 25.64367\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 31.35155\n", "\n", "Generation 194/1000 [////////// ]\n", - "Train Loss (Med): 10.05083 (17.40466)\n", - "Val Loss (Med): 10.05083 (17.40466)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 129 (5832)\n", - "Time (s): 25.76885\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 31.55939\n", "\n", "Generation 195/1000 [////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 25.89214\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 31.72435\n", "\n", "Generation 196/1000 [////////// ]\n", - "Train Loss (Med): 10.05083 (17.39093)\n", - "Val Loss (Med): 10.05083 (17.39093)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 153 (5832)\n", - "Time (s): 26.00435\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 31.90024\n", "\n", "Generation 197/1000 [////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 26.12339\n", + "Train Loss (Med): 9.69424 (12.84507)\n", + "Val Loss (Med): 9.69424 (12.84507)\n", + "Median Size (Max): 12 (20)\n", + "Median complexity (Max): 512 (5960)\n", + "Time (s): 32.07203\n", "\n", "Generation 198/1000 [////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 26.23908\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 32.23109\n", "\n", "Generation 199/1000 [////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 26.36255\n", + "Train Loss (Med): 9.69424 (12.84507)\n", + "Val Loss (Med): 9.69424 (12.84507)\n", + "Median Size (Max): 12 (20)\n", + "Median complexity (Max): 512 (5960)\n", + "Time (s): 32.38831\n", "\n", "Generation 200/1000 [/////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 26.47749\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 32.54777\n", "\n", "Generation 201/1000 [/////////// ]\n", - "Train Loss (Med): 10.05083 (17.39093)\n", - "Val Loss (Med): 10.05083 (17.39093)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 153 (5832)\n", - "Time (s): 26.59678\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 32.70753\n", "\n", "Generation 202/1000 [/////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 26.71115\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 32.86072\n", "\n", "Generation 203/1000 [/////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 26.82122\n", + "Train Loss (Med): 9.69424 (12.84507)\n", + "Val Loss (Med): 9.69424 (12.84507)\n", + "Median Size (Max): 12 (20)\n", + "Median complexity (Max): 512 (5960)\n", + "Time (s): 33.05722\n", "\n", "Generation 204/1000 [/////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 26.93873\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 33.25952\n", "\n", "Generation 205/1000 [/////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 27.05878\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 33.47531\n", "\n", "Generation 206/1000 [/////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 27.16963\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 33.63747\n", "\n", "Generation 207/1000 [/////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 27.29403\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 33.80590\n", "\n", "Generation 208/1000 [/////////// ]\n", - "Train Loss (Med): 10.05083 (17.40466)\n", - "Val Loss (Med): 10.05083 (17.40466)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 129 (5832)\n", - "Time (s): 27.41584\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 33.96729\n", "\n", "Generation 209/1000 [/////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 27.52980\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 34.18876\n", "\n", "Generation 210/1000 [/////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 27.64838\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 34.36880\n", "\n", "Generation 211/1000 [/////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 27.78265\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 34.53746\n", "\n", "Generation 212/1000 [/////////// ]\n", - "Train Loss (Med): 10.05083 (17.63098)\n", - "Val Loss (Med): 10.05083 (17.63098)\n", - "Median Size (Max): 9 (20)\n", - "Median complexity (Max): 84 (5832)\n", - "Time (s): 27.90689\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 10 (20)\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 34.71156\n", "\n", "Generation 213/1000 [/////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 28.02954\n", + "Train Loss (Med): 9.69424 (12.84507)\n", + "Val Loss (Med): 9.69424 (12.84507)\n", + "Median Size (Max): 12 (20)\n", + "Median complexity (Max): 512 (5960)\n", + "Time (s): 34.89618\n", "\n", "Generation 214/1000 [/////////// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 28.14265\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 10 (20)\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 35.09779\n", "\n", "Generation 215/1000 [/////////// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 28.26650\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 10 (20)\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 35.28435\n", "\n", "Generation 216/1000 [/////////// ]\n", - "Train Loss (Med): 10.05083 (17.39093)\n", - "Val Loss (Med): 10.05083 (17.39093)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 153 (5832)\n", - "Time (s): 28.38666\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 35.47925\n", "\n", "Generation 217/1000 [/////////// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 28.52650\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 35.65551\n", "\n", "Generation 218/1000 [/////////// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 28.64727\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 35.84441\n", "\n", "Generation 219/1000 [/////////// ]\n", - "Train Loss (Med): 10.05083 (17.40466)\n", - "Val Loss (Med): 10.05083 (17.40466)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 129 (5832)\n", - "Time (s): 28.78748\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 36.01167\n", "\n", "Generation 220/1000 [//////////// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 28.91646\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 36.18005\n", "\n", "Generation 221/1000 [//////////// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 29.04321\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 36.32577\n", "\n", "Generation 222/1000 [//////////// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 29.16136\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 36.47401\n", "\n", "Generation 223/1000 [//////////// ]\n", - "Train Loss (Med): 10.05083 (17.40466)\n", - "Val Loss (Med): 10.05083 (17.40466)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 129 (5832)\n", - "Time (s): 29.28414\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 36.61353\n", "\n", "Generation 224/1000 [//////////// ]\n", - "Train Loss (Med): 10.05083 (17.40466)\n", - "Val Loss (Med): 10.05083 (17.40466)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 129 (5832)\n", - "Time (s): 29.40342\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 36.79986\n", "\n", "Generation 225/1000 [//////////// ]\n", - "Train Loss (Med): 10.05083 (17.40466)\n", - "Val Loss (Med): 10.05083 (17.40466)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 129 (5832)\n", - "Time (s): 29.51851\n", + "Train Loss (Med): 9.69424 (12.84507)\n", + "Val Loss (Med): 9.69424 (12.84507)\n", + "Median Size (Max): 12 (20)\n", + "Median complexity (Max): 512 (5960)\n", + "Time (s): 36.96463\n", "\n", "Generation 226/1000 [//////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 29.63554\n", + "Median complexity (Max): 352 (5960)\n", + "Time (s): 37.15350\n", "\n", "Generation 227/1000 [//////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 29.75397\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 37.31784\n", "\n", "Generation 228/1000 [//////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 29.87258\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 37.48748\n", "\n", "Generation 229/1000 [//////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 29.98565\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 37.63935\n", "\n", "Generation 230/1000 [//////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 30.10145\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 37.79641\n", "\n", "Generation 231/1000 [//////////// ]\n", - "Train Loss (Med): 10.05083 (17.39093)\n", - "Val Loss (Med): 10.05083 (17.39093)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 153 (5832)\n", - "Time (s): 30.22272\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 37.95230\n", "\n", "Generation 232/1000 [//////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 30.33969\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 38.11172\n", "\n", "Generation 233/1000 [//////////// ]\n", - "Train Loss (Med): 10.05083 (17.63098)\n", - "Val Loss (Med): 10.05083 (17.63098)\n", - "Median Size (Max): 9 (20)\n", - "Median complexity (Max): 84 (5832)\n", - "Time (s): 30.47318\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 38.28832\n", "\n", "Generation 234/1000 [//////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 30.61038\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 38.45680\n", "\n", "Generation 235/1000 [//////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 30.74893\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 38.60554\n", "\n", "Generation 236/1000 [//////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 260 (5832)\n", - "Time (s): 30.88356\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 38.75091\n", "\n", "Generation 237/1000 [//////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 31.02189\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 38.90547\n", "\n", "Generation 238/1000 [//////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 31.14953\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 39.06990\n", "\n", "Generation 239/1000 [//////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 31.27367\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 39.22618\n", "\n", "Generation 240/1000 [///////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 31.39953\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 39.38770\n", "\n", "Generation 241/1000 [///////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 31.54058\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 39.53561\n", "\n", "Generation 242/1000 [///////////// ]\n", - "Train Loss (Med): 10.05083 (14.64283)\n", - "Val Loss (Med): 10.05083 (14.64283)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 344 (5832)\n", - "Time (s): 31.67045\n", + "Train Loss (Med): 9.69424 (12.84507)\n", + "Val Loss (Med): 9.69424 (12.84507)\n", + "Median Size (Max): 12 (20)\n", + "Median complexity (Max): 512 (5960)\n", + "Time (s): 39.69659\n", "\n", "Generation 243/1000 [///////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 31.80318\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 39.85276\n", "\n", "Generation 244/1000 [///////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 31.92752\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 40.00337\n", "\n", "Generation 245/1000 [///////////// ]\n", - "Train Loss (Med): 10.05083 (17.39093)\n", - "Val Loss (Med): 10.05083 (17.39093)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 32.05573\n", + "Train Loss (Med): 9.69424 (12.84507)\n", + "Val Loss (Med): 9.69424 (12.84507)\n", + "Median Size (Max): 12 (20)\n", + "Median complexity (Max): 512 (5960)\n", + "Time (s): 40.16941\n", "\n", "Generation 246/1000 [///////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 32.17925\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 40.33528\n", "\n", "Generation 247/1000 [///////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 32.29995\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 40.48654\n", "\n", "Generation 248/1000 [///////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 32.41786\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 40.62335\n", "\n", "Generation 249/1000 [///////////// ]\n", - "Train Loss (Med): 10.05083 (17.44867)\n", - "Val Loss (Med): 10.05083 (17.44867)\n", - "Median Size (Max): 9 (20)\n", - "Median complexity (Max): 99 (5832)\n", - "Time (s): 32.53152\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 40.76320\n", "\n", "Generation 250/1000 [///////////// ]\n", - "Train Loss (Med): 10.05083 (17.44867)\n", - "Val Loss (Med): 10.05083 (17.44867)\n", - "Median Size (Max): 9 (20)\n", - "Median complexity (Max): 99 (5832)\n", - "Time (s): 32.64857\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 40.90516\n", "\n", "Generation 251/1000 [///////////// ]\n", - "Train Loss (Med): 10.05083 (17.44867)\n", - "Val Loss (Med): 10.05083 (17.44867)\n", - "Median Size (Max): 9 (20)\n", - "Median complexity (Max): 99 (5832)\n", - "Time (s): 32.76356\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 41.06923\n", "\n", "Generation 252/1000 [///////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 32.88732\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 41.22263\n", "\n", "Generation 253/1000 [///////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 33.00351\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 41.37645\n", "\n", "Generation 254/1000 [///////////// ]\n", - "Train Loss (Med): 10.05083 (17.40466)\n", - "Val Loss (Med): 10.05083 (17.40466)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 129 (5832)\n", - "Time (s): 33.11936\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 41.55947\n", "\n", "Generation 255/1000 [///////////// ]\n", - "Train Loss (Med): 10.05083 (17.40466)\n", - "Val Loss (Med): 10.05083 (17.40466)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 129 (5832)\n", - "Time (s): 33.23979\n", + "Train Loss (Med): 9.69424 (12.84507)\n", + "Val Loss (Med): 9.69424 (12.84507)\n", + "Median Size (Max): 12 (20)\n", + "Median complexity (Max): 512 (5960)\n", + "Time (s): 41.70773\n", "\n", "Generation 256/1000 [///////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 33.35414\n", + "Median complexity (Max): 344 (5960)\n", + "Time (s): 41.86419\n", "\n", "Generation 257/1000 [///////////// ]\n", - "Train Loss (Med): 10.05083 (17.40466)\n", - "Val Loss (Med): 10.05083 (17.40466)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 129 (5832)\n", - "Time (s): 33.46429\n", + "Median complexity (Max): 344 (5960)\n", + "Time (s): 42.01654\n", "\n", "Generation 258/1000 [///////////// ]\n", - "Train Loss (Med): 10.05083 (17.49268)\n", - "Val Loss (Med): 10.05083 (17.49268)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 69 (5832)\n", - "Time (s): 33.57597\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 10 (20)\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 42.21102\n", "\n", "Generation 259/1000 [///////////// ]\n", - "Train Loss (Med): 10.05083 (17.44867)\n", - "Val Loss (Med): 10.05083 (17.44867)\n", - "Median Size (Max): 9 (20)\n", - "Median complexity (Max): 99 (5832)\n", - "Time (s): 33.68634\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 42.42212\n", "\n", "Generation 260/1000 [////////////// ]\n", - "Train Loss (Med): 10.05083 (17.40466)\n", - "Val Loss (Med): 10.05083 (17.40466)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 129 (5832)\n", - "Time (s): 33.79657\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 42.60079\n", "\n", "Generation 261/1000 [////////////// ]\n", - "Train Loss (Med): 10.05083 (17.39093)\n", - "Val Loss (Med): 10.05083 (17.39093)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 153 (5832)\n", - "Time (s): 33.90097\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 42.80679\n", "\n", "Generation 262/1000 [////////////// ]\n", - "Train Loss (Med): 10.05083 (17.40466)\n", - "Val Loss (Med): 10.05083 (17.40466)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 129 (5832)\n", - "Time (s): 34.01220\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 42.96749\n", "\n", "Generation 263/1000 [////////////// ]\n", - "Train Loss (Med): 10.05083 (17.44867)\n", - "Val Loss (Med): 10.05083 (17.44867)\n", - "Median Size (Max): 9 (20)\n", - "Median complexity (Max): 99 (5832)\n", - "Time (s): 34.11958\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 43.12452\n", "\n", "Generation 264/1000 [////////////// ]\n", - "Train Loss (Med): 10.05083 (17.44867)\n", - "Val Loss (Med): 10.05083 (17.44867)\n", - "Median Size (Max): 9 (20)\n", - "Median complexity (Max): 99 (5832)\n", - "Time (s): 34.22325\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 10 (20)\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 43.26969\n", "\n", "Generation 265/1000 [////////////// ]\n", - "Train Loss (Med): 10.05083 (17.44867)\n", - "Val Loss (Med): 10.05083 (17.44867)\n", - "Median Size (Max): 9 (20)\n", - "Median complexity (Max): 99 (5832)\n", - "Time (s): 34.32706\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 10 (20)\n", + "Median complexity (Max): 344 (5960)\n", + "Time (s): 43.41849\n", "\n", "Generation 266/1000 [////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 34.44053\n", + "Median complexity (Max): 344 (5960)\n", + "Time (s): 43.54666\n", "\n", "Generation 267/1000 [////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 34.54783\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 43.69940\n", "\n", "Generation 268/1000 [////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 34.65640\n", + "Median complexity (Max): 344 (5960)\n", + "Time (s): 43.85998\n", "\n", "Generation 269/1000 [////////////// ]\n", - "Train Loss (Med): 10.05083 (17.40466)\n", - "Val Loss (Med): 10.05083 (17.40466)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 129 (5832)\n", - "Time (s): 34.77422\n", + "Median complexity (Max): 344 (5960)\n", + "Time (s): 44.03550\n", "\n", "Generation 270/1000 [////////////// ]\n", - "Train Loss (Med): 10.05083 (17.40466)\n", - "Val Loss (Med): 10.05083 (17.40466)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 129 (5832)\n", - "Time (s): 34.88390\n", + "Median complexity (Max): 344 (5960)\n", + "Time (s): 44.20265\n", "\n", "Generation 271/1000 [////////////// ]\n", - "Train Loss (Med): 10.05083 (17.40466)\n", - "Val Loss (Med): 10.05083 (17.40466)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 129 (5832)\n", - "Time (s): 34.99099\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 44.38940\n", "\n", "Generation 272/1000 [////////////// ]\n", - "Train Loss (Med): 10.05083 (17.44867)\n", - "Val Loss (Med): 10.05083 (17.44867)\n", - "Median Size (Max): 9 (20)\n", - "Median complexity (Max): 99 (5832)\n", - "Time (s): 35.10104\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 44.58900\n", "\n", "Generation 273/1000 [////////////// ]\n", - "Train Loss (Med): 10.05083 (17.44867)\n", - "Val Loss (Med): 10.05083 (17.44867)\n", - "Median Size (Max): 9 (20)\n", - "Median complexity (Max): 99 (5832)\n", - "Time (s): 35.21030\n", + "Train Loss (Med): 9.69424 (12.84507)\n", + "Val Loss (Med): 9.69424 (12.84507)\n", + "Median Size (Max): 12 (20)\n", + "Median complexity (Max): 512 (5960)\n", + "Time (s): 44.77676\n", "\n", "Generation 274/1000 [////////////// ]\n", - "Train Loss (Med): 10.05083 (17.39093)\n", - "Val Loss (Med): 10.05083 (17.39093)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 153 (5832)\n", - "Time (s): 35.31637\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 44.94463\n", "\n", "Generation 275/1000 [////////////// ]\n", - "Train Loss (Med): 10.05083 (17.40466)\n", - "Val Loss (Med): 10.05083 (17.40466)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 129 (5832)\n", - "Time (s): 35.42809\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 45.08959\n", "\n", "Generation 276/1000 [////////////// ]\n", - "Train Loss (Med): 10.05083 (17.40466)\n", - "Val Loss (Med): 10.05083 (17.40466)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 129 (5832)\n", - "Time (s): 35.53802\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 45.26622\n", "\n", "Generation 277/1000 [////////////// ]\n", - "Train Loss (Med): 10.05083 (17.44867)\n", - "Val Loss (Med): 10.05083 (17.44867)\n", - "Median Size (Max): 9 (20)\n", - "Median complexity (Max): 99 (5832)\n", - "Time (s): 35.65131\n", + "Train Loss (Med): 9.69424 (12.84507)\n", + "Val Loss (Med): 9.69424 (12.84507)\n", + "Median Size (Max): 12 (20)\n", + "Median complexity (Max): 512 (5960)\n", + "Time (s): 45.42369\n", "\n", "Generation 278/1000 [////////////// ]\n", - "Train Loss (Med): 10.05083 (17.67498)\n", - "Val Loss (Med): 10.05083 (17.67498)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 54 (5832)\n", - "Time (s): 35.76012\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 10 (20)\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 45.56993\n", "\n", "Generation 279/1000 [////////////// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 35.86453\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 10 (20)\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 45.71689\n", "\n", "Generation 280/1000 [/////////////// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 35.96737\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 45.87340\n", "\n", "Generation 281/1000 [/////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 36.08645\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 46.04966\n", "\n", "Generation 282/1000 [/////////////// ]\n", - "Train Loss (Med): 10.05083 (17.40466)\n", - "Val Loss (Med): 10.05083 (17.40466)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 129 (5832)\n", - "Time (s): 36.19285\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 46.28948\n", "\n", "Generation 283/1000 [/////////////// ]\n", - "Train Loss (Med): 10.05083 (17.40466)\n", - "Val Loss (Med): 10.05083 (17.40466)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 129 (5832)\n", - "Time (s): 36.29808\n", + "Train Loss (Med): 9.69424 (12.84507)\n", + "Val Loss (Med): 9.69424 (12.84507)\n", + "Median Size (Max): 12 (20)\n", + "Median complexity (Max): 512 (5960)\n", + "Time (s): 46.51061\n", "\n", "Generation 284/1000 [/////////////// ]\n", - "Train Loss (Med): 10.05083 (17.49268)\n", - "Val Loss (Med): 10.05083 (17.49268)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 69 (5832)\n", - "Time (s): 36.40386\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 46.70363\n", "\n", "Generation 285/1000 [/////////////// ]\n", - "Train Loss (Med): 10.05083 (17.40466)\n", - "Val Loss (Med): 10.05083 (17.40466)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 129 (5832)\n", - "Time (s): 36.51252\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 46.86538\n", "\n", "Generation 286/1000 [/////////////// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 54 (5832)\n", - "Time (s): 36.61231\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 47.02737\n", "\n", "Generation 287/1000 [/////////////// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 7 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 36.71400\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 47.17655\n", "\n", "Generation 288/1000 [/////////////// ]\n", - "Train Loss (Med): 10.05083 (17.44867)\n", - "Val Loss (Med): 10.05083 (17.44867)\n", - "Median Size (Max): 9 (20)\n", - "Median complexity (Max): 99 (5832)\n", - "Time (s): 36.82041\n", + "Train Loss (Med): 9.69424 (12.84507)\n", + "Val Loss (Med): 9.69424 (12.84507)\n", + "Median Size (Max): 12 (20)\n", + "Median complexity (Max): 512 (5960)\n", + "Time (s): 47.32807\n", "\n", "Generation 289/1000 [/////////////// ]\n", - "Train Loss (Med): 10.05083 (17.49268)\n", - "Val Loss (Med): 10.05083 (17.49268)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 69 (5832)\n", - "Time (s): 36.92350\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 47.51872\n", "\n", "Generation 290/1000 [/////////////// ]\n", - "Train Loss (Med): 10.05083 (17.40466)\n", - "Val Loss (Med): 10.05083 (17.40466)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 129 (5832)\n", - "Time (s): 37.04046\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 47.69909\n", "\n", "Generation 291/1000 [/////////////// ]\n", - "Train Loss (Med): 10.05083 (17.49268)\n", - "Val Loss (Med): 10.05083 (17.49268)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 69 (5832)\n", - "Time (s): 37.15592\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 47.88537\n", "\n", "Generation 292/1000 [/////////////// ]\n", - "Train Loss (Med): 10.05083 (17.40466)\n", - "Val Loss (Med): 10.05083 (17.40466)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 129 (5832)\n", - "Time (s): 37.26549\n", + "Train Loss (Med): 9.69424 (12.84507)\n", + "Val Loss (Med): 9.69424 (12.84507)\n", + "Median Size (Max): 12 (20)\n", + "Median complexity (Max): 512 (5960)\n", + "Time (s): 48.08097\n", "\n", "Generation 293/1000 [/////////////// ]\n", - "Train Loss (Med): 10.05083 (17.67498)\n", - "Val Loss (Med): 10.05083 (17.67498)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 54 (5832)\n", - "Time (s): 37.37382\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 48.26208\n", "\n", "Generation 294/1000 [/////////////// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 37.47492\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 48.45757\n", "\n", "Generation 295/1000 [/////////////// ]\n", - "Train Loss (Med): 10.05083 (17.49268)\n", - "Val Loss (Med): 10.05083 (17.49268)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 69 (5832)\n", - "Time (s): 37.57364\n", + "Train Loss (Med): 9.69424 (12.84507)\n", + "Val Loss (Med): 9.69424 (12.84507)\n", + "Median Size (Max): 12 (20)\n", + "Median complexity (Max): 512 (5960)\n", + "Time (s): 48.67842\n", "\n", "Generation 296/1000 [/////////////// ]\n", - "Train Loss (Med): 10.05083 (17.40466)\n", - "Val Loss (Med): 10.05083 (17.40466)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 129 (5832)\n", - "Time (s): 37.68427\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 48.85870\n", "\n", "Generation 297/1000 [/////////////// ]\n", - "Train Loss (Med): 10.05083 (17.67498)\n", - "Val Loss (Med): 10.05083 (17.67498)\n", - "Median Size (Max): 7 (20)\n", - "Median complexity (Max): 54 (5832)\n", - "Time (s): 37.79134\n", + "Train Loss (Med): 9.69424 (12.84507)\n", + "Val Loss (Med): 9.69424 (12.84507)\n", + "Median Size (Max): 12 (20)\n", + "Median complexity (Max): 512 (5960)\n", + "Time (s): 49.02935\n", "\n", "Generation 298/1000 [/////////////// ]\n", - "Train Loss (Med): 10.05083 (17.40466)\n", - "Val Loss (Med): 10.05083 (17.40466)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 129 (5832)\n", - "Time (s): 37.89796\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 49.20761\n", "\n", "Generation 299/1000 [/////////////// ]\n", - "Train Loss (Med): 10.05083 (17.67498)\n", - "Val Loss (Med): 10.05083 (17.67498)\n", - "Median Size (Max): 7 (20)\n", - "Median complexity (Max): 54 (5832)\n", - "Time (s): 38.01366\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 49.37871\n", "\n", "Generation 300/1000 [//////////////// ]\n", - "Train Loss (Med): 10.05083 (17.44867)\n", - "Val Loss (Med): 10.05083 (17.44867)\n", - "Median Size (Max): 9 (20)\n", - "Median complexity (Max): 99 (5832)\n", - "Time (s): 41.15378\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 49.53457\n", "\n", "Generation 301/1000 [//////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 41.26336\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 49.68711\n", "\n", "Generation 302/1000 [//////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 41.37400\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 49.84537\n", "\n", "Generation 303/1000 [//////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 41.48893\n", + "Train Loss (Med): 9.69424 (12.84507)\n", + "Val Loss (Med): 9.69424 (12.84507)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 49.99622\n", "\n", "Generation 304/1000 [//////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 41.60050\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 50.13278\n", "\n", "Generation 305/1000 [//////////////// ]\n", - "Train Loss (Med): 10.05083 (14.64283)\n", - "Val Loss (Med): 10.05083 (14.64283)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 344 (5832)\n", - "Time (s): 41.70580\n", + "Train Loss (Med): 9.69424 (12.84507)\n", + "Val Loss (Med): 9.69424 (12.84507)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 50.30790\n", "\n", "Generation 306/1000 [//////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 41.81715\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 50.46174\n", "\n", "Generation 307/1000 [//////////////// ]\n", - "Train Loss (Med): 10.05083 (17.39093)\n", - "Val Loss (Med): 10.05083 (17.39093)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 41.92473\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 50.61885\n", "\n", "Generation 308/1000 [//////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 42.03376\n", + "Train Loss (Med): 9.69424 (12.84507)\n", + "Val Loss (Med): 9.69424 (12.84507)\n", + "Median Size (Max): 12 (20)\n", + "Median complexity (Max): 512 (5960)\n", + "Time (s): 50.76133\n", "\n", "Generation 309/1000 [//////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 42.14123\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 50.90546\n", "\n", "Generation 310/1000 [//////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 42.25476\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 51.06343\n", "\n", "Generation 311/1000 [//////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 42.36439\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 51.23515\n", "\n", "Generation 312/1000 [//////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 42.48342\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 672 (5960)\n", + "Time (s): 51.40322\n", "\n", "Generation 313/1000 [//////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 42.59962\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 51.57428\n", "\n", "Generation 314/1000 [//////////////// ]\n", - "Train Loss (Med): 10.05083 (17.49268)\n", - "Val Loss (Med): 10.05083 (17.49268)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 99 (5832)\n", - "Time (s): 42.71656\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 51.73752\n", "\n", "Generation 315/1000 [//////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 42.83625\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 672 (5960)\n", + "Time (s): 51.91063\n", "\n", "Generation 316/1000 [//////////////// ]\n", - "Train Loss (Med): 10.05083 (17.40466)\n", - "Val Loss (Med): 10.05083 (17.40466)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 129 (5832)\n", - "Time (s): 42.95190\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 672 (5960)\n", + "Time (s): 52.07661\n", "\n", "Generation 317/1000 [//////////////// ]\n", - "Train Loss (Med): 10.05083 (17.40466)\n", - "Val Loss (Med): 10.05083 (17.40466)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 129 (5832)\n", - "Time (s): 43.07032\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 672 (5960)\n", + "Time (s): 52.25856\n", "\n", "Generation 318/1000 [//////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 43.19118\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 52.42802\n", "\n", "Generation 319/1000 [//////////////// ]\n", - "Train Loss (Med): 10.05083 (17.39093)\n", - "Val Loss (Med): 10.05083 (17.39093)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 43.30385\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 52.59392\n", "\n", "Generation 320/1000 [///////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 43.42405\n", + "Train Loss (Med): 9.69424 (12.84507)\n", + "Val Loss (Med): 9.69424 (12.84507)\n", + "Median Size (Max): 12 (20)\n", + "Median complexity (Max): 512 (5960)\n", + "Time (s): 52.76077\n", "\n", "Generation 321/1000 [///////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 43.54480\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 52.94105\n", "\n", "Generation 322/1000 [///////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 43.66090\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 53.10084\n", "\n", "Generation 323/1000 [///////////////// ]\n", - "Train Loss (Med): 10.05083 (17.40466)\n", - "Val Loss (Med): 10.05083 (17.40466)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 129 (5832)\n", - "Time (s): 43.77235\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 53.25677\n", "\n", "Generation 324/1000 [///////////////// ]\n", - "Train Loss (Med): 10.05083 (17.40466)\n", - "Val Loss (Med): 10.05083 (17.40466)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 129 (5832)\n", - "Time (s): 43.88565\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 672 (5960)\n", + "Time (s): 53.41437\n", "\n", "Generation 325/1000 [///////////////// ]\n", - "Train Loss (Med): 10.05083 (17.44867)\n", - "Val Loss (Med): 10.05083 (17.44867)\n", - "Median Size (Max): 9 (20)\n", - "Median complexity (Max): 99 (5832)\n", - "Time (s): 43.99357\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 10 (20)\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 53.64752\n", "\n", "Generation 326/1000 [///////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 44.11016\n", + "Train Loss (Med): 9.69424 (12.84507)\n", + "Val Loss (Med): 9.69424 (12.84507)\n", + "Median Size (Max): 12 (20)\n", + "Median complexity (Max): 512 (5960)\n", + "Time (s): 53.81495\n", "\n", "Generation 327/1000 [///////////////// ]\n", - "Train Loss (Med): 10.05083 (17.49268)\n", - "Val Loss (Med): 10.05083 (17.49268)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 69 (5832)\n", - "Time (s): 44.22484\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 10 (20)\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 53.97271\n", "\n", "Generation 328/1000 [///////////////// ]\n", - "Train Loss (Med): 10.05083 (17.67498)\n", - "Val Loss (Med): 10.05083 (17.67498)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 54 (5832)\n", - "Time (s): 44.33537\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 54.11792\n", "\n", "Generation 329/1000 [///////////////// ]\n", - "Train Loss (Med): 10.05083 (17.49268)\n", - "Val Loss (Med): 10.05083 (17.49268)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 69 (5832)\n", - "Time (s): 44.43821\n", + "Train Loss (Med): 9.69424 (12.84507)\n", + "Val Loss (Med): 9.69424 (12.84507)\n", + "Median Size (Max): 12 (20)\n", + "Median complexity (Max): 512 (5960)\n", + "Time (s): 54.27293\n", "\n", "Generation 330/1000 [///////////////// ]\n", - "Train Loss (Med): 10.05083 (17.44867)\n", - "Val Loss (Med): 10.05083 (17.44867)\n", - "Median Size (Max): 9 (20)\n", - "Median complexity (Max): 99 (5832)\n", - "Time (s): 44.54143\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 54.43497\n", "\n", "Generation 331/1000 [///////////////// ]\n", - "Train Loss (Med): 10.05083 (17.67498)\n", - "Val Loss (Med): 10.05083 (17.67498)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 54 (5832)\n", - "Time (s): 44.64730\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 54.60447\n", "\n", "Generation 332/1000 [///////////////// ]\n", - "Train Loss (Med): 10.05083 (17.39093)\n", - "Val Loss (Med): 10.05083 (17.39093)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 153 (5832)\n", - "Time (s): 44.75091\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 54.76776\n", "\n", "Generation 333/1000 [///////////////// ]\n", - "Train Loss (Med): 10.05083 (17.40466)\n", - "Val Loss (Med): 10.05083 (17.40466)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 129 (5832)\n", - "Time (s): 44.85229\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 12 (20)\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 54.90927\n", "\n", "Generation 334/1000 [///////////////// ]\n", - "Train Loss (Med): 10.05083 (17.39093)\n", - "Val Loss (Med): 10.05083 (17.39093)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 44.95822\n", + "Train Loss (Med): 9.69424 (12.84507)\n", + "Val Loss (Med): 9.69424 (12.84507)\n", + "Median Size (Max): 12 (20)\n", + "Median complexity (Max): 512 (5960)\n", + "Time (s): 55.05756\n", "\n", "Generation 335/1000 [///////////////// ]\n", - "Train Loss (Med): 10.05083 (17.44867)\n", - "Val Loss (Med): 10.05083 (17.44867)\n", - "Median Size (Max): 9 (20)\n", - "Median complexity (Max): 99 (5832)\n", - "Time (s): 45.06240\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 55.22932\n", "\n", "Generation 336/1000 [///////////////// ]\n", - "Train Loss (Med): 10.05083 (17.39093)\n", - "Val Loss (Med): 10.05083 (17.39093)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 153 (5832)\n", - "Time (s): 45.18347\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 55.38489\n", "\n", "Generation 337/1000 [///////////////// ]\n", - "Train Loss (Med): 10.05083 (17.44867)\n", - "Val Loss (Med): 10.05083 (17.44867)\n", - "Median Size (Max): 9 (20)\n", - "Median complexity (Max): 99 (5832)\n", - "Time (s): 45.28802\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 55.52386\n", "\n", "Generation 338/1000 [///////////////// ]\n", - "Train Loss (Med): 10.05083 (17.49268)\n", - "Val Loss (Med): 10.05083 (17.49268)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 69 (5832)\n", - "Time (s): 45.39434\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 55.66451\n", "\n", "Generation 339/1000 [///////////////// ]\n", - "Train Loss (Med): 10.05083 (17.40466)\n", - "Val Loss (Med): 10.05083 (17.40466)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 129 (5832)\n", - "Time (s): 45.50447\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 55.81957\n", "\n", "Generation 340/1000 [////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.40466)\n", - "Val Loss (Med): 10.05083 (17.40466)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 129 (5832)\n", - "Time (s): 45.61317\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 55.98137\n", "\n", "Generation 341/1000 [////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.44867)\n", - "Val Loss (Med): 10.05083 (17.44867)\n", - "Median Size (Max): 9 (20)\n", - "Median complexity (Max): 99 (5832)\n", - "Time (s): 45.72435\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 10 (20)\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 56.16697\n", "\n", "Generation 342/1000 [////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.40466)\n", - "Val Loss (Med): 10.05083 (17.40466)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 129 (5832)\n", - "Time (s): 45.82857\n", + "Median complexity (Max): 352 (5960)\n", + "Time (s): 56.33216\n", "\n", "Generation 343/1000 [////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.44867)\n", - "Val Loss (Med): 10.05083 (17.44867)\n", - "Median Size (Max): 9 (20)\n", - "Median complexity (Max): 99 (5832)\n", - "Time (s): 45.93484\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 10 (20)\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 56.51421\n", "\n", "Generation 344/1000 [////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.49268)\n", - "Val Loss (Med): 10.05083 (17.49268)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 69 (5832)\n", - "Time (s): 46.03403\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 10 (20)\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 56.70641\n", "\n", "Generation 345/1000 [////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.40466)\n", - "Val Loss (Med): 10.05083 (17.40466)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 129 (5832)\n", - "Time (s): 46.15054\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 56.90038\n", "\n", "Generation 346/1000 [////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 46.26514\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 57.09006\n", "\n", "Generation 347/1000 [////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.39093)\n", - "Val Loss (Med): 10.05083 (17.39093)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 153 (5832)\n", - "Time (s): 46.37879\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 672 (5960)\n", + "Time (s): 57.26411\n", "\n", "Generation 348/1000 [////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 46.48987\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 672 (5960)\n", + "Time (s): 57.43121\n", "\n", "Generation 349/1000 [////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.39093)\n", - "Val Loss (Med): 10.05083 (17.39093)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 153 (5832)\n", - "Time (s): 46.60249\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 57.59352\n", "\n", "Generation 350/1000 [////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.49268)\n", - "Val Loss (Med): 10.05083 (17.49268)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 69 (5832)\n", - "Time (s): 46.70586\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 672 (5960)\n", + "Time (s): 57.75641\n", "\n", "Generation 351/1000 [////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.44867)\n", - "Val Loss (Med): 10.05083 (17.44867)\n", - "Median Size (Max): 9 (20)\n", - "Median complexity (Max): 99 (5832)\n", - "Time (s): 46.80672\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 57.91636\n", "\n", "Generation 352/1000 [////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.44867)\n", - "Val Loss (Med): 10.05083 (17.44867)\n", - "Median Size (Max): 9 (20)\n", - "Median complexity (Max): 99 (5832)\n", - "Time (s): 46.91217\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 58.10342\n", "\n", "Generation 353/1000 [////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.39093)\n", - "Val Loss (Med): 10.05083 (17.39093)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 153 (5832)\n", - "Time (s): 47.02633\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 672 (5960)\n", + "Time (s): 58.29483\n", "\n", "Generation 354/1000 [////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.40466)\n", - "Val Loss (Med): 10.05083 (17.40466)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 129 (5832)\n", - "Time (s): 47.13354\n", + "Train Loss (Med): 9.69424 (12.84507)\n", + "Val Loss (Med): 9.69424 (12.84507)\n", + "Median Size (Max): 12 (20)\n", + "Median complexity (Max): 512 (5960)\n", + "Time (s): 58.49087\n", "\n", "Generation 355/1000 [////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.40466)\n", - "Val Loss (Med): 10.05083 (17.40466)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 129 (5832)\n", - "Time (s): 47.24963\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 58.67900\n", "\n", "Generation 356/1000 [////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.67498)\n", - "Val Loss (Med): 10.05083 (17.67498)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 54 (5832)\n", - "Time (s): 47.35542\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 58.85827\n", "\n", "Generation 357/1000 [////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.49268)\n", - "Val Loss (Med): 10.05083 (17.49268)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 99 (5832)\n", - "Time (s): 47.46655\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 59.03683\n", "\n", "Generation 358/1000 [////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.44867)\n", - "Val Loss (Med): 10.05083 (17.44867)\n", - "Median Size (Max): 9 (20)\n", - "Median complexity (Max): 99 (5832)\n", - "Time (s): 47.57564\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 672 (5960)\n", + "Time (s): 59.20779\n", "\n", "Generation 359/1000 [////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 6 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 47.68185\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 59.40424\n", "\n", "Generation 360/1000 [/////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.67498)\n", - "Val Loss (Med): 10.05083 (17.67498)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 54 (5832)\n", - "Time (s): 47.78314\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 672 (5960)\n", + "Time (s): 59.61677\n", "\n", "Generation 361/1000 [/////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 47.88645\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 59.83211\n", "\n", "Generation 362/1000 [/////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 48.00310\n", + "Train Loss (Med): 9.69424 (12.84507)\n", + "Val Loss (Med): 9.69424 (12.84507)\n", + "Median Size (Max): 12 (20)\n", + "Median complexity (Max): 512 (5960)\n", + "Time (s): 60.02185\n", "\n", "Generation 363/1000 [/////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.40466)\n", - "Val Loss (Med): 10.05083 (17.40466)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 129 (5832)\n", - "Time (s): 48.11173\n", + "Train Loss (Med): 9.69424 (12.84507)\n", + "Val Loss (Med): 9.69424 (12.84507)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 60.24108\n", "\n", "Generation 364/1000 [/////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.49268)\n", - "Val Loss (Med): 10.05083 (17.49268)\n", - "Median Size (Max): 9 (20)\n", - "Median complexity (Max): 99 (5832)\n", - "Time (s): 48.23024\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 60.48983\n", "\n", "Generation 365/1000 [/////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.44867)\n", - "Val Loss (Med): 10.05083 (17.44867)\n", - "Median Size (Max): 9 (20)\n", - "Median complexity (Max): 99 (5832)\n", - "Time (s): 48.33303\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 60.71490\n", "\n", "Generation 366/1000 [/////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.49268)\n", - "Val Loss (Med): 10.05083 (17.49268)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 69 (5832)\n", - "Time (s): 48.43833\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 60.95508\n", "\n", "Generation 367/1000 [/////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 48.54449\n", + "Train Loss (Med): 9.69424 (12.84507)\n", + "Val Loss (Med): 9.69424 (12.84507)\n", + "Median Size (Max): 12 (20)\n", + "Median complexity (Max): 512 (5960)\n", + "Time (s): 61.22481\n", "\n", "Generation 368/1000 [/////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 48.65430\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 61.47948\n", "\n", "Generation 369/1000 [/////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 48.76169\n", + "Train Loss (Med): 9.69424 (12.84507)\n", + "Val Loss (Med): 9.69424 (12.84507)\n", + "Median Size (Max): 12 (20)\n", + "Median complexity (Max): 512 (5960)\n", + "Time (s): 61.73534\n", "\n", "Generation 370/1000 [/////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 48.88021\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 61.98874\n", "\n", "Generation 371/1000 [/////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 48.99717\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 62.20704\n", "\n", "Generation 372/1000 [/////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 49.11556\n", + "Train Loss (Med): 9.69424 (12.84507)\n", + "Val Loss (Med): 9.69424 (12.84507)\n", + "Median Size (Max): 12 (20)\n", + "Median complexity (Max): 512 (5960)\n", + "Time (s): 62.42210\n", "\n", "Generation 373/1000 [/////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 49.22892\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 62.59843\n", "\n", "Generation 374/1000 [/////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.49268)\n", - "Val Loss (Med): 10.05083 (17.49268)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 69 (5832)\n", - "Time (s): 49.33851\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 10 (20)\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 62.77887\n", "\n", "Generation 375/1000 [/////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 49.44463\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 10 (20)\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 62.13670\n", "\n", "Generation 376/1000 [/////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.49268)\n", - "Val Loss (Med): 10.05083 (17.49268)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 69 (5832)\n", - "Time (s): 49.54970\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 10 (20)\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 62.34007\n", "\n", "Generation 377/1000 [/////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 49.65671\n", + "Median complexity (Max): 512 (5960)\n", + "Time (s): 62.53653\n", "\n", "Generation 378/1000 [/////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 49.76900\n", + "Train Loss (Med): 9.69424 (12.84507)\n", + "Val Loss (Med): 9.69424 (12.84507)\n", + "Median Size (Max): 12 (20)\n", + "Median complexity (Max): 512 (5960)\n", + "Time (s): 62.71763\n", "\n", "Generation 379/1000 [/////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 49.88033\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 62.89283\n", "\n", "Generation 380/1000 [//////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 49.98443\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 63.05247\n", "\n", "Generation 381/1000 [//////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 50.08718\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 63.21107\n", "\n", "Generation 382/1000 [//////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.39093)\n", - "Val Loss (Med): 10.05083 (17.39093)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 153 (5832)\n", - "Time (s): 50.19303\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 63.36689\n", "\n", "Generation 383/1000 [//////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.67498)\n", - "Val Loss (Med): 10.05083 (17.67498)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 54 (5832)\n", - "Time (s): 50.29938\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 63.52910\n", "\n", "Generation 384/1000 [//////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.49268)\n", - "Val Loss (Med): 10.05083 (17.49268)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 69 (5832)\n", - "Time (s): 50.40768\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 63.69545\n", "\n", "Generation 385/1000 [//////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.44867)\n", - "Val Loss (Med): 10.05083 (17.44867)\n", - "Median Size (Max): 9 (20)\n", - "Median complexity (Max): 99 (5832)\n", - "Time (s): 50.51817\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 63.86969\n", "\n", "Generation 386/1000 [//////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.39093)\n", - "Val Loss (Med): 10.05083 (17.39093)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 153 (5832)\n", - "Time (s): 50.62806\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 64.03353\n", "\n", "Generation 387/1000 [//////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.40466)\n", - "Val Loss (Med): 10.05083 (17.40466)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 129 (5832)\n", - "Time (s): 50.73143\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 672 (5960)\n", + "Time (s): 64.19312\n", "\n", "Generation 388/1000 [//////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 50.84104\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 64.35247\n", "\n", "Generation 389/1000 [//////////////////// ]\n", - "Train Loss (Med): 10.05083 (14.64283)\n", - "Val Loss (Med): 10.05083 (14.64283)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 344 (5832)\n", - "Time (s): 50.94463\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 64.54369\n", "\n", "Generation 390/1000 [//////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.01001)\n", - "Val Loss (Med): 10.05083 (16.01001)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 260 (5832)\n", - "Time (s): 51.08493\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 64.70154\n", "\n", "Generation 391/1000 [//////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 51.19832\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 64.86031\n", "\n", "Generation 392/1000 [//////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 51.31158\n", + "Train Loss (Med): 9.69424 (12.84507)\n", + "Val Loss (Med): 9.69424 (12.84507)\n", + "Median Size (Max): 12 (20)\n", + "Median complexity (Max): 512 (5960)\n", + "Time (s): 65.00256\n", "\n", "Generation 393/1000 [//////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 51.42776\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 65.14009\n", "\n", "Generation 394/1000 [//////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 51.54829\n", + "Train Loss (Med): 9.69424 (12.84507)\n", + "Val Loss (Med): 9.69424 (12.84507)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 65.27860\n", "\n", "Generation 395/1000 [//////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 51.65102\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 65.43179\n", "\n", "Generation 396/1000 [//////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 51.76908\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 65.57586\n", "\n", "Generation 397/1000 [//////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.40466)\n", - "Val Loss (Med): 10.05083 (17.40466)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 129 (5832)\n", - "Time (s): 51.88060\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 65.71860\n", "\n", "Generation 398/1000 [//////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.40466)\n", - "Val Loss (Med): 10.05083 (17.40466)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 129 (5832)\n", - "Time (s): 51.98540\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 65.88556\n", "\n", "Generation 399/1000 [//////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 52.09617\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 66.01960\n", "\n", "Generation 400/1000 [///////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 52.21323\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 66.18782\n", "\n", "Generation 401/1000 [///////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.01001)\n", - "Val Loss (Med): 10.05083 (16.01001)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 260 (5832)\n", - "Time (s): 52.32542\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 66.38573\n", "\n", "Generation 402/1000 [///////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 52.44316\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 66.55103\n", "\n", "Generation 403/1000 [///////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.01001)\n", - "Val Loss (Med): 10.05083 (16.01001)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 260 (5832)\n", - "Time (s): 52.56209\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 66.70886\n", "\n", "Generation 404/1000 [///////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 52.67262\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 66.87032\n", "\n", "Generation 405/1000 [///////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 52.78770\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 67.04324\n", "\n", "Generation 406/1000 [///////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 52.90200\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 67.23630\n", "\n", "Generation 407/1000 [///////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 53.01084\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 67.41434\n", "\n", "Generation 408/1000 [///////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.44867)\n", - "Val Loss (Med): 10.05083 (17.44867)\n", - "Median Size (Max): 9 (20)\n", - "Median complexity (Max): 99 (5832)\n", - "Time (s): 53.11776\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 10 (20)\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 67.57936\n", "\n", "Generation 409/1000 [///////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.39093)\n", - "Val Loss (Med): 10.05083 (17.39093)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 153 (5832)\n", - "Time (s): 53.22942\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 67.87739\n", "\n", "Generation 410/1000 [///////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 53.33151\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 68.10321\n", "\n", "Generation 411/1000 [///////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.40466)\n", - "Val Loss (Med): 10.05083 (17.40466)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 129 (5832)\n", - "Time (s): 53.44768\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 672 (5960)\n", + "Time (s): 68.31814\n", "\n", "Generation 412/1000 [///////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.40466)\n", - "Val Loss (Med): 10.05083 (17.40466)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 129 (5832)\n", - "Time (s): 53.54468\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 68.50803\n", "\n", "Generation 413/1000 [///////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.39093)\n", - "Val Loss (Med): 10.05083 (17.39093)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 153 (5832)\n", - "Time (s): 53.65347\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 68.69102\n", "\n", "Generation 414/1000 [///////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.40466)\n", - "Val Loss (Med): 10.05083 (17.40466)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 129 (5832)\n", - "Time (s): 53.75465\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 68.89604\n", "\n", "Generation 415/1000 [///////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.49268)\n", - "Val Loss (Med): 10.05083 (17.49268)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 69 (5832)\n", - "Time (s): 53.85825\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 672 (5960)\n", + "Time (s): 69.10406\n", "\n", "Generation 416/1000 [///////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.49268)\n", - "Val Loss (Med): 10.05083 (17.49268)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 69 (5832)\n", - "Time (s): 53.95884\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 69.30283\n", "\n", "Generation 417/1000 [///////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.49268)\n", - "Val Loss (Med): 10.05083 (17.49268)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 69 (5832)\n", - "Time (s): 54.06338\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 672 (5960)\n", + "Time (s): 69.52971\n", "\n", "Generation 418/1000 [///////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.49268)\n", - "Val Loss (Med): 10.05083 (17.49268)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 69 (5832)\n", - "Time (s): 54.17052\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 69.74419\n", "\n", "Generation 419/1000 [///////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.44867)\n", - "Val Loss (Med): 10.05083 (17.44867)\n", - "Median Size (Max): 9 (20)\n", - "Median complexity (Max): 99 (5832)\n", - "Time (s): 54.27974\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 672 (5960)\n", + "Time (s): 69.99821\n", "\n", "Generation 420/1000 [////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.44867)\n", - "Val Loss (Med): 10.05083 (17.44867)\n", - "Median Size (Max): 9 (20)\n", - "Median complexity (Max): 99 (5832)\n", - "Time (s): 54.38703\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 70.23706\n", "\n", "Generation 421/1000 [////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 54.50598\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 70.42283\n", "\n", "Generation 422/1000 [////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 54.61026\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 70.67342\n", "\n", "Generation 423/1000 [////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.49268)\n", - "Val Loss (Med): 10.05083 (17.49268)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 69 (5832)\n", - "Time (s): 54.71022\n", + "Train Loss (Med): 9.69424 (12.84507)\n", + "Val Loss (Med): 9.69424 (12.84507)\n", + "Median Size (Max): 12 (20)\n", + "Median complexity (Max): 512 (5960)\n", + "Time (s): 70.86246\n", "\n", "Generation 424/1000 [////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.49268)\n", - "Val Loss (Med): 10.05083 (17.49268)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 69 (5832)\n", - "Time (s): 54.81605\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 10 (20)\n", + "Median complexity (Max): 512 (5960)\n", + "Time (s): 71.03853\n", "\n", "Generation 425/1000 [////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.49268)\n", - "Val Loss (Med): 10.05083 (17.49268)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 69 (5832)\n", - "Time (s): 54.92811\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 10 (20)\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 71.19647\n", "\n", "Generation 426/1000 [////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.40466)\n", - "Val Loss (Med): 10.05083 (17.40466)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 129 (5832)\n", - "Time (s): 55.04572\n", + "Train Loss (Med): 9.69424 (12.84507)\n", + "Val Loss (Med): 9.69424 (12.84507)\n", + "Median Size (Max): 12 (20)\n", + "Median complexity (Max): 512 (5960)\n", + "Time (s): 71.34760\n", "\n", "Generation 427/1000 [////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 55.15757\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 71.49380\n", "\n", "Generation 428/1000 [////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.39093)\n", - "Val Loss (Med): 10.05083 (17.39093)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 153 (5832)\n", - "Time (s): 55.26943\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 672 (5960)\n", + "Time (s): 71.64034\n", "\n", "Generation 429/1000 [////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.44867)\n", - "Val Loss (Med): 10.05083 (17.44867)\n", - "Median Size (Max): 9 (20)\n", - "Median complexity (Max): 99 (5832)\n", - "Time (s): 55.37644\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 71.78201\n", "\n", "Generation 430/1000 [////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.39093)\n", - "Val Loss (Med): 10.05083 (17.39093)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 153 (5832)\n", - "Time (s): 55.49093\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 71.97220\n", "\n", "Generation 431/1000 [////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.39093)\n", - "Val Loss (Med): 10.05083 (17.39093)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 153 (5832)\n", - "Time (s): 55.60617\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 72.15878\n", "\n", "Generation 432/1000 [////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.40466)\n", - "Val Loss (Med): 10.05083 (17.40466)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 129 (5832)\n", - "Time (s): 55.71350\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 72.31783\n", "\n", "Generation 433/1000 [////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.49268)\n", - "Val Loss (Med): 10.05083 (17.49268)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 69 (5832)\n", - "Time (s): 55.81954\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 72.48339\n", "\n", "Generation 434/1000 [////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.49268)\n", - "Val Loss (Med): 10.05083 (17.49268)\n", - "Median Size (Max): 6 (20)\n", - "Median complexity (Max): 69 (5832)\n", - "Time (s): 55.91706\n", + "Train Loss (Med): 9.69424 (12.84507)\n", + "Val Loss (Med): 9.69424 (12.84507)\n", + "Median Size (Max): 12 (20)\n", + "Median complexity (Max): 512 (5960)\n", + "Time (s): 72.66658\n", "\n", "Generation 435/1000 [////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 5 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 56.01378\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 672 (5960)\n", + "Time (s): 72.85263\n", "\n", "Generation 436/1000 [////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.40466)\n", - "Val Loss (Med): 10.05083 (17.40466)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 129 (5832)\n", - "Time (s): 56.11729\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 73.07347\n", "\n", "Generation 437/1000 [////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.40466)\n", - "Val Loss (Med): 10.05083 (17.40466)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 129 (5832)\n", - "Time (s): 56.22991\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 73.27075\n", "\n", "Generation 438/1000 [////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 56.34045\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 73.47601\n", "\n", "Generation 439/1000 [////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.49268)\n", - "Val Loss (Med): 10.05083 (17.49268)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 69 (5832)\n", - "Time (s): 56.45512\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 10 (20)\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 73.66271\n", "\n", "Generation 440/1000 [/////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.40466)\n", - "Val Loss (Med): 10.05083 (17.40466)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 129 (5832)\n", - "Time (s): 56.55528\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 73.84671\n", "\n", "Generation 441/1000 [/////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 56.65520\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 74.04488\n", "\n", "Generation 442/1000 [/////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 56.76462\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 74.23324\n", "\n", "Generation 443/1000 [/////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 56.87054\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 74.43878\n", "\n", "Generation 444/1000 [/////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 56.98732\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 74.69669\n", "\n", "Generation 445/1000 [/////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.40466)\n", - "Val Loss (Med): 10.05083 (17.40466)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 129 (5832)\n", - "Time (s): 57.08904\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 74.89881\n", "\n", "Generation 446/1000 [/////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.40466)\n", - "Val Loss (Med): 10.05083 (17.40466)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 129 (5832)\n", - "Time (s): 57.18695\n", + "Median complexity (Max): 512 (5960)\n", + "Time (s): 75.08517\n", "\n", "Generation 447/1000 [/////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.49268)\n", - "Val Loss (Med): 10.05083 (17.49268)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 69 (5832)\n", - "Time (s): 57.29642\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 10 (20)\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 75.28667\n", "\n", "Generation 448/1000 [/////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 57.40620\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 75.49881\n", "\n", "Generation 449/1000 [/////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.39093)\n", - "Val Loss (Med): 10.05083 (17.39093)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 153 (5832)\n", - "Time (s): 57.51517\n", + "Train Loss (Med): 9.69424 (12.84507)\n", + "Val Loss (Med): 9.69424 (12.84507)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 75.72018\n", "\n", "Generation 450/1000 [/////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.39093)\n", - "Val Loss (Med): 10.05083 (17.39093)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 153 (5832)\n", - "Time (s): 57.62295\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 75.90620\n", "\n", "Generation 451/1000 [/////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.39093)\n", - "Val Loss (Med): 10.05083 (17.39093)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 153 (5832)\n", - "Time (s): 57.73245\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 76.09425\n", "\n", "Generation 452/1000 [/////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.49268)\n", - "Val Loss (Med): 10.05083 (17.49268)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 69 (5832)\n", - "Time (s): 57.83868\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 672 (5960)\n", + "Time (s): 76.27773\n", "\n", "Generation 453/1000 [/////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 57.95005\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 76.48920\n", "\n", "Generation 454/1000 [/////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 58.05812\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 76.72073\n", "\n", "Generation 455/1000 [/////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.49268)\n", - "Val Loss (Med): 10.05083 (17.49268)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 69 (5832)\n", - "Time (s): 58.15417\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 76.93120\n", "\n", "Generation 456/1000 [/////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.49268)\n", - "Val Loss (Med): 10.05083 (17.49268)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 69 (5832)\n", - "Time (s): 58.26977\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 12 (20)\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 77.12616\n", "\n", "Generation 457/1000 [/////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 58.38178\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 77.30260\n", "\n", "Generation 458/1000 [/////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.49268)\n", - "Val Loss (Med): 10.05083 (17.49268)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 69 (5832)\n", - "Time (s): 58.48390\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 77.48690\n", "\n", "Generation 459/1000 [/////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.44867)\n", - "Val Loss (Med): 10.05083 (17.44867)\n", - "Median Size (Max): 9 (20)\n", - "Median complexity (Max): 99 (5832)\n", - "Time (s): 58.58796\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 77.65345\n", "\n", "Generation 460/1000 [//////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.49268)\n", - "Val Loss (Med): 10.05083 (17.49268)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 69 (5832)\n", - "Time (s): 58.69765\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 77.78963\n", "\n", "Generation 461/1000 [//////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.49268)\n", - "Val Loss (Med): 10.05083 (17.49268)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 69 (5832)\n", - "Time (s): 58.80257\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 77.94423\n", "\n", "Generation 462/1000 [//////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.40466)\n", - "Val Loss (Med): 10.05083 (17.40466)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 129 (5832)\n", - "Time (s): 58.91708\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 78.18087\n", "\n", "Generation 463/1000 [//////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.39093)\n", - "Val Loss (Med): 10.05083 (17.39093)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 153 (5832)\n", - "Time (s): 59.03104\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 78.50607\n", "\n", "Generation 464/1000 [//////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.40466)\n", - "Val Loss (Med): 10.05083 (17.40466)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 129 (5832)\n", - "Time (s): 59.14083\n", + "Train Loss (Med): 9.69424 (12.84507)\n", + "Val Loss (Med): 9.69424 (12.84507)\n", + "Median Size (Max): 12 (20)\n", + "Median complexity (Max): 512 (5960)\n", + "Time (s): 78.81592\n", "\n", "Generation 465/1000 [//////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.39093)\n", - "Val Loss (Med): 10.05083 (17.39093)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 153 (5832)\n", - "Time (s): 59.24677\n", + "Train Loss (Med): 9.69424 (12.84507)\n", + "Val Loss (Med): 9.69424 (12.84507)\n", + "Median Size (Max): 12 (20)\n", + "Median complexity (Max): 512 (5960)\n", + "Time (s): 79.17580\n", "\n", "Generation 466/1000 [//////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.40466)\n", - "Val Loss (Med): 10.05083 (17.40466)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 129 (5832)\n", - "Time (s): 59.35265\n", + "Train Loss (Med): 9.69424 (12.84507)\n", + "Val Loss (Med): 9.69424 (12.84507)\n", + "Median Size (Max): 12 (20)\n", + "Median complexity (Max): 512 (5960)\n", + "Time (s): 79.48567\n", "\n", "Generation 467/1000 [//////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 59.46217\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 79.82013\n", "\n", "Generation 468/1000 [//////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 59.57501\n", + "Train Loss (Med): 9.69424 (12.84507)\n", + "Val Loss (Med): 9.69424 (12.84507)\n", + "Median Size (Max): 12 (20)\n", + "Median complexity (Max): 512 (5960)\n", + "Time (s): 80.06318\n", "\n", "Generation 469/1000 [//////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 59.69165\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 80.25970\n", "\n", "Generation 470/1000 [//////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 59.80012\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 80.45329\n", "\n", "Generation 471/1000 [//////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 59.91618\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 80.68740\n", "\n", "Generation 472/1000 [//////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.44867)\n", - "Val Loss (Med): 10.05083 (17.44867)\n", - "Median Size (Max): 9 (20)\n", - "Median complexity (Max): 99 (5832)\n", - "Time (s): 60.02629\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 672 (5960)\n", + "Time (s): 80.88673\n", "\n", "Generation 473/1000 [//////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.49268)\n", - "Val Loss (Med): 10.05083 (17.49268)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 69 (5832)\n", - "Time (s): 60.13883\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 10 (20)\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 81.05381\n", "\n", "Generation 474/1000 [//////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 60.24252\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 81.26460\n", "\n", "Generation 475/1000 [//////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.39093)\n", - "Val Loss (Med): 10.05083 (17.39093)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 153 (5832)\n", - "Time (s): 60.37188\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 81.46687\n", "\n", "Generation 476/1000 [//////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.49268)\n", - "Val Loss (Med): 10.05083 (17.49268)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 69 (5832)\n", - "Time (s): 60.48034\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 81.69439\n", "\n", "Generation 477/1000 [//////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 60.59878\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 81.87511\n", "\n", "Generation 478/1000 [//////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 60.71071\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 82.04003\n", "\n", "Generation 479/1000 [//////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 60.82796\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 82.21111\n", "\n", "Generation 480/1000 [///////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 60.93639\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 82.40022\n", "\n", "Generation 481/1000 [///////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.40466)\n", - "Val Loss (Med): 10.05083 (17.40466)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 129 (5832)\n", - "Time (s): 61.04793\n", + "Train Loss (Med): 9.69424 (12.84507)\n", + "Val Loss (Med): 9.69424 (12.84507)\n", + "Median Size (Max): 12 (20)\n", + "Median complexity (Max): 512 (5960)\n", + "Time (s): 82.62077\n", "\n", "Generation 482/1000 [///////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 61.14960\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 82.82811\n", "\n", "Generation 483/1000 [///////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.39093)\n", - "Val Loss (Med): 10.05083 (17.39093)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 153 (5832)\n", - "Time (s): 61.25763\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 672 (5960)\n", + "Time (s): 83.00269\n", "\n", "Generation 484/1000 [///////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 61.36322\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 672 (5960)\n", + "Time (s): 83.17328\n", "\n", "Generation 485/1000 [///////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.39093)\n", - "Val Loss (Med): 10.05083 (17.39093)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 153 (5832)\n", - "Time (s): 61.47100\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 83.36263\n", "\n", "Generation 486/1000 [///////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.39093)\n", - "Val Loss (Med): 10.05083 (17.39093)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 153 (5832)\n", - "Time (s): 61.57754\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 83.55467\n", "\n", "Generation 487/1000 [///////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.39093)\n", - "Val Loss (Med): 10.05083 (17.39093)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 153 (5832)\n", - "Time (s): 61.68718\n", + "Train Loss (Med): 9.69424 (12.84507)\n", + "Val Loss (Med): 9.69424 (12.84507)\n", + "Median Size (Max): 12 (20)\n", + "Median complexity (Max): 512 (5960)\n", + "Time (s): 83.76385\n", "\n", "Generation 488/1000 [///////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 61.78909\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 83.94678\n", "\n", "Generation 489/1000 [///////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 61.90062\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 84.12614\n", "\n", "Generation 490/1000 [///////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.40466)\n", - "Val Loss (Med): 10.05083 (17.40466)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 129 (5832)\n", - "Time (s): 62.01141\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 84.34851\n", "\n", "Generation 491/1000 [///////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.44867)\n", - "Val Loss (Med): 10.05083 (17.44867)\n", - "Median Size (Max): 9 (20)\n", - "Median complexity (Max): 99 (5832)\n", - "Time (s): 62.11436\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 84.51907\n", "\n", "Generation 492/1000 [///////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.49268)\n", - "Val Loss (Med): 10.05083 (17.49268)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 69 (5832)\n", - "Time (s): 62.21960\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 84.68177\n", "\n", "Generation 493/1000 [///////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 62.33441\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 84.85286\n", "\n", "Generation 494/1000 [///////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.39093)\n", - "Val Loss (Med): 10.05083 (17.39093)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 62.45174\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 85.03298\n", "\n", "Generation 495/1000 [///////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 62.57860\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 85.21943\n", "\n", "Generation 496/1000 [///////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 62.69204\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 85.41579\n", "\n", "Generation 497/1000 [///////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 62.80962\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 85.59171\n", "\n", "Generation 498/1000 [///////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 62.93192\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 85.77572\n", "\n", "Generation 499/1000 [///////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 63.05567\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 85.95331\n", "\n", "Generation 500/1000 [////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 63.17947\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 86.15025\n", "\n", "Generation 501/1000 [////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 63.30793\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 672 (5960)\n", + "Time (s): 86.37260\n", "\n", "Generation 502/1000 [////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 63.42417\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 86.56174\n", "\n", "Generation 503/1000 [////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 63.54405\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 86.74715\n", "\n", "Generation 504/1000 [////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 63.67500\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 86.94859\n", "\n", "Generation 505/1000 [////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.44867)\n", - "Val Loss (Med): 10.05083 (17.44867)\n", - "Median Size (Max): 9 (20)\n", - "Median complexity (Max): 99 (5832)\n", - "Time (s): 63.80664\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 87.18276\n", "\n", "Generation 506/1000 [////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 63.92670\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 87.40395\n", "\n", "Generation 507/1000 [////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 64.06071\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 87.62282\n", "\n", "Generation 508/1000 [////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 64.18225\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 87.86840\n", "\n", "Generation 509/1000 [////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (14.64283)\n", - "Val Loss (Med): 10.05083 (14.64283)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 344 (5832)\n", - "Time (s): 64.31686\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 88.10351\n", "\n", "Generation 510/1000 [////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 64.45867\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 88.33695\n", "\n", "Generation 511/1000 [////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 64.59166\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 88.58766\n", "\n", "Generation 512/1000 [////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.39093)\n", - "Val Loss (Med): 10.05083 (17.39093)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 153 (5832)\n", - "Time (s): 64.73104\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 88.83952\n", "\n", "Generation 513/1000 [////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.39093)\n", - "Val Loss (Med): 10.05083 (17.39093)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 153 (5832)\n", - "Time (s): 64.87262\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 89.11380\n", "\n", "Generation 514/1000 [////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 65.00729\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 89.33624\n", "\n", "Generation 515/1000 [////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 65.14967\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 89.56198\n", "\n", "Generation 516/1000 [////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 65.27917\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 89.81843\n", "\n", "Generation 517/1000 [////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.39093)\n", - "Val Loss (Med): 10.05083 (17.39093)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 65.40379\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 672 (5960)\n", + "Time (s): 90.04372\n", "\n", "Generation 518/1000 [////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 65.52666\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 90.27094\n", "\n", "Generation 519/1000 [////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 65.65287\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 90.53293\n", "\n", "Generation 520/1000 [/////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 65.77588\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 90.75677\n", "\n", "Generation 521/1000 [/////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (14.64283)\n", - "Val Loss (Med): 10.05083 (14.64283)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 344 (5832)\n", - "Time (s): 65.90802\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 90.97150\n", "\n", "Generation 522/1000 [/////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (14.64283)\n", - "Val Loss (Med): 10.05083 (14.64283)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 344 (5832)\n", - "Time (s): 66.05530\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 91.16946\n", "\n", "Generation 523/1000 [/////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 66.20118\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 91.36219\n", "\n", "Generation 524/1000 [/////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 66.34172\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 672 (5960)\n", + "Time (s): 91.60853\n", "\n", "Generation 525/1000 [/////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 66.50262\n", + "Train Loss (Med): 9.69424 (12.84507)\n", + "Val Loss (Med): 9.69424 (12.84507)\n", + "Median Size (Max): 12 (20)\n", + "Median complexity (Max): 512 (5960)\n", + "Time (s): 91.83176\n", "\n", "Generation 526/1000 [/////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 66.64680\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 92.12694\n", "\n", "Generation 527/1000 [/////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.39093)\n", - "Val Loss (Med): 10.05083 (17.39093)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 153 (5832)\n", - "Time (s): 66.78012\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 92.50616\n", "\n", "Generation 528/1000 [/////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.39093)\n", - "Val Loss (Med): 10.05083 (17.39093)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 66.90136\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 92.81664\n", "\n", "Generation 529/1000 [/////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.01001)\n", - "Val Loss (Med): 10.05083 (16.01001)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 260 (5832)\n", - "Time (s): 67.03410\n", + "Median complexity (Max): 344 (5960)\n", + "Time (s): 93.05699\n", "\n", "Generation 530/1000 [/////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 67.15610\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 93.27377\n", "\n", "Generation 531/1000 [/////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 67.27564\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 93.47428\n", "\n", "Generation 532/1000 [/////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 67.38818\n", + "Train Loss (Med): 9.69424 (12.84507)\n", + "Val Loss (Med): 9.69424 (12.84507)\n", + "Median Size (Max): 12 (20)\n", + "Median complexity (Max): 512 (5960)\n", + "Time (s): 93.69852\n", "\n", "Generation 533/1000 [/////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 67.51149\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 93.95226\n", "\n", "Generation 534/1000 [/////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 67.62158\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 672 (5960)\n", + "Time (s): 94.16524\n", "\n", "Generation 535/1000 [/////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 67.74229\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 93.62040\n", "\n", "Generation 536/1000 [/////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 67.87324\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 93.88191\n", "\n", "Generation 537/1000 [/////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 68.00839\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 94.12322\n", "\n", "Generation 538/1000 [/////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.40466)\n", - "Val Loss (Med): 10.05083 (17.40466)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 153 (5832)\n", - "Time (s): 68.15516\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 94.43301\n", "\n", "Generation 539/1000 [/////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.49268)\n", - "Val Loss (Med): 10.05083 (17.49268)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 69 (5832)\n", - "Time (s): 68.32420\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 94.68743\n", "\n", "Generation 540/1000 [//////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.40466)\n", - "Val Loss (Med): 10.05083 (17.40466)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 129 (5832)\n", - "Time (s): 68.48468\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 94.91076\n", "\n", "Generation 541/1000 [//////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 68.64404\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 95.10414\n", "\n", "Generation 542/1000 [//////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 68.81151\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 95.29581\n", "\n", "Generation 543/1000 [//////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 68.96321\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 95.45869\n", "\n", "Generation 544/1000 [//////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 69.11239\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 95.62492\n", "\n", "Generation 545/1000 [//////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 69.25741\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 95.77483\n", "\n", "Generation 546/1000 [//////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 69.39381\n", + "Train Loss (Med): 9.69424 (12.84507)\n", + "Val Loss (Med): 9.69424 (12.84507)\n", + "Median Size (Max): 12 (20)\n", + "Median complexity (Max): 512 (5960)\n", + "Time (s): 95.94742\n", "\n", "Generation 547/1000 [//////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 69.51603\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 96.11515\n", "\n", "Generation 548/1000 [//////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 69.64341\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 96.28352\n", "\n", "Generation 549/1000 [//////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (14.64283)\n", - "Val Loss (Med): 10.05083 (14.64283)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 344 (5832)\n", - "Time (s): 69.77393\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 672 (5960)\n", + "Time (s): 96.44266\n", "\n", "Generation 550/1000 [//////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (14.64283)\n", - "Val Loss (Med): 10.05083 (14.64283)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 344 (5832)\n", - "Time (s): 69.90025\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 96.60786\n", "\n", "Generation 551/1000 [//////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.39093)\n", - "Val Loss (Med): 10.05083 (17.39093)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 70.03418\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 96.76315\n", "\n", "Generation 552/1000 [//////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 70.15577\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 96.91301\n", "\n", "Generation 553/1000 [//////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 70.29205\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 97.05123\n", "\n", "Generation 554/1000 [//////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 70.41747\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 97.21049\n", "\n", "Generation 555/1000 [//////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 70.53399\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 97.34869\n", "\n", "Generation 556/1000 [//////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 70.65604\n", + "Train Loss (Med): 9.69424 (12.84507)\n", + "Val Loss (Med): 9.69424 (12.84507)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 97.49323\n", "\n", "Generation 557/1000 [//////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 70.78719\n", + "Train Loss (Med): 9.69424 (12.84507)\n", + "Val Loss (Med): 9.69424 (12.84507)\n", + "Median Size (Max): 12 (20)\n", + "Median complexity (Max): 512 (5960)\n", + "Time (s): 97.67544\n", "\n", "Generation 558/1000 [//////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 70.91356\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 97.83900\n", "\n", "Generation 559/1000 [//////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.39093)\n", - "Val Loss (Med): 10.05083 (17.39093)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 153 (5832)\n", - "Time (s): 71.02634\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 98.01476\n", "\n", "Generation 560/1000 [///////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 71.13875\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 98.18715\n", "\n", "Generation 561/1000 [///////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 71.25996\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 672 (5960)\n", + "Time (s): 98.35510\n", "\n", "Generation 562/1000 [///////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.40466)\n", - "Val Loss (Med): 10.05083 (17.40466)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 129 (5832)\n", - "Time (s): 71.37482\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 98.54967\n", "\n", "Generation 563/1000 [///////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 71.49111\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 98.72019\n", "\n", "Generation 564/1000 [///////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 71.60339\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 98.89583\n", "\n", "Generation 565/1000 [///////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 71.72874\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 99.06032\n", "\n", "Generation 566/1000 [///////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.49268)\n", - "Val Loss (Med): 10.05083 (17.49268)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 69 (5832)\n", - "Time (s): 71.83828\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 99.23147\n", "\n", "Generation 567/1000 [///////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.49268)\n", - "Val Loss (Med): 10.05083 (17.49268)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 69 (5832)\n", - "Time (s): 71.94653\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 672 (5960)\n", + "Time (s): 99.40387\n", "\n", "Generation 568/1000 [///////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.40466)\n", - "Val Loss (Med): 10.05083 (17.40466)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 129 (5832)\n", - "Time (s): 72.07003\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 99.55711\n", "\n", "Generation 569/1000 [///////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (14.64283)\n", - "Val Loss (Med): 10.05083 (14.64283)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 344 (5832)\n", - "Time (s): 72.20570\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 99.71570\n", "\n", "Generation 570/1000 [///////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 72.33273\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 99.88972\n", "\n", "Generation 571/1000 [///////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 72.45975\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 100.06431\n", "\n", "Generation 572/1000 [///////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.40466)\n", - "Val Loss (Med): 10.05083 (17.40466)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 129 (5832)\n", - "Time (s): 72.57804\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 100.28857\n", "\n", "Generation 573/1000 [///////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 72.70510\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 100.59339\n", "\n", "Generation 574/1000 [///////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 72.83445\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 100.96892\n", "\n", "Generation 575/1000 [///////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.67498)\n", - "Val Loss (Med): 10.05083 (17.67498)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 54 (5832)\n", - "Time (s): 72.95814\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 101.26174\n", "\n", "Generation 576/1000 [///////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.40466)\n", - "Val Loss (Med): 10.05083 (17.40466)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 129 (5832)\n", - "Time (s): 73.07138\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 101.48509\n", "\n", "Generation 577/1000 [///////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.67498)\n", - "Val Loss (Med): 10.05083 (17.67498)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 54 (5832)\n", - "Time (s): 73.18761\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 672 (5960)\n", + "Time (s): 101.71417\n", "\n", "Generation 578/1000 [///////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.44867)\n", - "Val Loss (Med): 10.05083 (17.44867)\n", - "Median Size (Max): 9 (20)\n", - "Median complexity (Max): 99 (5832)\n", - "Time (s): 73.29340\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 101.89851\n", "\n", "Generation 579/1000 [///////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.40466)\n", - "Val Loss (Med): 10.05083 (17.40466)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 129 (5832)\n", - "Time (s): 76.46008\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 672 (5960)\n", + "Time (s): 102.07183\n", "\n", "Generation 580/1000 [////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.67498)\n", - "Val Loss (Med): 10.05083 (17.67498)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 54 (5832)\n", - "Time (s): 76.59039\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 672 (5960)\n", + "Time (s): 102.25265\n", "\n", "Generation 581/1000 [////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.94969)\n", - "Val Loss (Med): 10.05083 (17.94969)\n", - "Median Size (Max): 5 (20)\n", - "Median complexity (Max): 20 (5832)\n", - "Time (s): 76.71867\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 102.41437\n", "\n", "Generation 582/1000 [////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.94969)\n", - "Val Loss (Med): 10.05083 (17.94969)\n", - "Median Size (Max): 5 (20)\n", - "Median complexity (Max): 20 (5832)\n", - "Time (s): 76.84627\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 102.57385\n", "\n", "Generation 583/1000 [////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.49268)\n", - "Val Loss (Med): 10.05083 (17.49268)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 69 (5832)\n", - "Time (s): 76.97110\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 102.73851\n", "\n", "Generation 584/1000 [////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.44867)\n", - "Val Loss (Med): 10.05083 (17.44867)\n", - "Median Size (Max): 9 (20)\n", - "Median complexity (Max): 99 (5832)\n", - "Time (s): 77.10268\n", + "Train Loss (Med): 9.69424 (12.84507)\n", + "Val Loss (Med): 9.69424 (12.84507)\n", + "Median Size (Max): 12 (20)\n", + "Median complexity (Max): 512 (5960)\n", + "Time (s): 102.91936\n", "\n", "Generation 585/1000 [////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.39093)\n", - "Val Loss (Med): 10.05083 (17.39093)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 153 (5832)\n", - "Time (s): 77.23442\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 103.09184\n", "\n", "Generation 586/1000 [////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.40466)\n", - "Val Loss (Med): 10.05083 (17.40466)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 129 (5832)\n", - "Time (s): 77.40466\n", + "Median complexity (Max): 352 (5960)\n", + "Time (s): 103.25060\n", "\n", "Generation 587/1000 [////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.49268)\n", - "Val Loss (Med): 10.05083 (17.49268)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 69 (5832)\n", - "Time (s): 77.55877\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 103.39609\n", "\n", "Generation 588/1000 [////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.49268)\n", - "Val Loss (Med): 10.05083 (17.49268)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 69 (5832)\n", - "Time (s): 77.69331\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 103.53363\n", "\n", "Generation 589/1000 [////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 77.82736\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 103.67630\n", "\n", "Generation 590/1000 [////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.39093)\n", - "Val Loss (Med): 10.05083 (17.39093)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 153 (5832)\n", - "Time (s): 77.94749\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 103.81982\n", "\n", "Generation 591/1000 [////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 78.08112\n", + "Train Loss (Med): 9.69424 (12.84507)\n", + "Val Loss (Med): 9.69424 (12.84507)\n", + "Median Size (Max): 12 (20)\n", + "Median complexity (Max): 512 (5960)\n", + "Time (s): 103.96284\n", "\n", "Generation 592/1000 [////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 78.21088\n", + "Median complexity (Max): 344 (5960)\n", + "Time (s): 104.10196\n", "\n", "Generation 593/1000 [////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 78.34484\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 104.24407\n", "\n", "Generation 594/1000 [////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 78.47043\n", + "Median complexity (Max): 344 (5960)\n", + "Time (s): 104.37874\n", "\n", "Generation 595/1000 [////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.40466)\n", - "Val Loss (Med): 10.05083 (17.40466)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 129 (5832)\n", - "Time (s): 78.59737\n", + "Median complexity (Max): 344 (5960)\n", + "Time (s): 104.51339\n", "\n", "Generation 596/1000 [////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 78.71900\n", + "Median complexity (Max): 352 (5960)\n", + "Time (s): 104.64996\n", "\n", "Generation 597/1000 [////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 78.84374\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 104.78884\n", "\n", "Generation 598/1000 [////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.40466)\n", - "Val Loss (Med): 10.05083 (17.40466)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 129 (5832)\n", - "Time (s): 78.97379\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 104.92053\n", "\n", "Generation 599/1000 [////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.40466)\n", - "Val Loss (Med): 10.05083 (17.40466)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 129 (5832)\n", - "Time (s): 79.09729\n", + "Train Loss (Med): 9.69424 (12.84507)\n", + "Val Loss (Med): 9.69424 (12.84507)\n", + "Median Size (Max): 12 (20)\n", + "Median complexity (Max): 512 (5960)\n", + "Time (s): 105.05686\n", "\n", "Generation 600/1000 [/////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.49268)\n", - "Val Loss (Med): 10.05083 (17.49268)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 69 (5832)\n", - "Time (s): 79.20940\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 105.18671\n", "\n", "Generation 601/1000 [/////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 79.33552\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 105.32233\n", "\n", "Generation 602/1000 [/////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 79.45466\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 105.46025\n", "\n", "Generation 603/1000 [/////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.39093)\n", - "Val Loss (Med): 10.05083 (17.39093)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 153 (5832)\n", - "Time (s): 79.58601\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 672 (5960)\n", + "Time (s): 105.59620\n", "\n", "Generation 604/1000 [/////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.39093)\n", - "Val Loss (Med): 10.05083 (17.39093)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 79.70560\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 672 (5960)\n", + "Time (s): 105.72314\n", "\n", "Generation 605/1000 [/////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.40466)\n", - "Val Loss (Med): 10.05083 (17.40466)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 129 (5832)\n", - "Time (s): 79.83589\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 105.85197\n", "\n", "Generation 606/1000 [/////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 79.95323\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 105.98678\n", "\n", "Generation 607/1000 [/////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.39093)\n", - "Val Loss (Med): 10.05083 (17.39093)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 153 (5832)\n", - "Time (s): 80.07742\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 672 (5960)\n", + "Time (s): 106.12225\n", "\n", "Generation 608/1000 [/////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.39093)\n", - "Val Loss (Med): 10.05083 (17.39093)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 153 (5832)\n", - "Time (s): 80.19765\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 106.25008\n", "\n", "Generation 609/1000 [/////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.39093)\n", - "Val Loss (Med): 10.05083 (17.39093)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 80.32146\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 106.38280\n", "\n", "Generation 610/1000 [/////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 54 (5832)\n", - "Time (s): 80.42445\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 672 (5960)\n", + "Time (s): 106.50795\n", "\n", "Generation 611/1000 [/////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.39093)\n", - "Val Loss (Med): 10.05083 (17.39093)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 153 (5832)\n", - "Time (s): 80.54101\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 106.63955\n", "\n", "Generation 612/1000 [/////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 80.65804\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 106.77473\n", "\n", "Generation 613/1000 [/////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 80.77988\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 106.91840\n", "\n", "Generation 614/1000 [/////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.44867)\n", - "Val Loss (Med): 10.05083 (17.44867)\n", - "Median Size (Max): 9 (20)\n", - "Median complexity (Max): 99 (5832)\n", - "Time (s): 80.89374\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 107.04980\n", "\n", "Generation 615/1000 [/////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.39093)\n", - "Val Loss (Med): 10.05083 (17.39093)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 81.00892\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 107.19199\n", "\n", "Generation 616/1000 [/////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.40466)\n", - "Val Loss (Med): 10.05083 (17.40466)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 129 (5832)\n", - "Time (s): 81.11515\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 107.32269\n", "\n", "Generation 617/1000 [/////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.49268)\n", - "Val Loss (Med): 10.05083 (17.49268)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 69 (5832)\n", - "Time (s): 81.22061\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 10 (20)\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 107.46020\n", "\n", "Generation 618/1000 [/////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.39093)\n", - "Val Loss (Med): 10.05083 (17.39093)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 153 (5832)\n", - "Time (s): 81.34434\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 107.62365\n", "\n", "Generation 619/1000 [/////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.39093)\n", - "Val Loss (Med): 10.05083 (17.39093)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 81.45306\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 107.78475\n", "\n", "Generation 620/1000 [//////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 81.56315\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 107.94189\n", "\n", "Generation 621/1000 [//////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 81.67565\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 108.08810\n", "\n", "Generation 622/1000 [//////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 81.79736\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 672 (5960)\n", + "Time (s): 108.22724\n", "\n", "Generation 623/1000 [//////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (14.64283)\n", - "Val Loss (Med): 10.05083 (14.64283)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 344 (5832)\n", - "Time (s): 81.92264\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 108.37145\n", "\n", "Generation 624/1000 [//////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 82.03205\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 108.51434\n", "\n", "Generation 625/1000 [//////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.44867)\n", - "Val Loss (Med): 10.05083 (17.44867)\n", - "Median Size (Max): 9 (20)\n", - "Median complexity (Max): 99 (5832)\n", - "Time (s): 82.14555\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 10 (20)\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 108.66543\n", "\n", "Generation 626/1000 [//////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 82.25298\n", + "Train Loss (Med): 9.69424 (12.84507)\n", + "Val Loss (Med): 9.69424 (12.84507)\n", + "Median Size (Max): 12 (20)\n", + "Median complexity (Max): 512 (5960)\n", + "Time (s): 108.80134\n", "\n", "Generation 627/1000 [//////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 82.36229\n", + "Train Loss (Med): 9.69424 (12.84507)\n", + "Val Loss (Med): 9.69424 (12.84507)\n", + "Median Size (Max): 12 (20)\n", + "Median complexity (Max): 512 (5960)\n", + "Time (s): 108.94366\n", "\n", "Generation 628/1000 [//////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.39093)\n", - "Val Loss (Med): 10.05083 (17.39093)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 82.47372\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 109.08243\n", "\n", "Generation 629/1000 [//////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.40466)\n", - "Val Loss (Med): 10.05083 (17.40466)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 129 (5832)\n", - "Time (s): 82.58942\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 109.24717\n", "\n", "Generation 630/1000 [//////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.40466)\n", - "Val Loss (Med): 10.05083 (17.40466)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 129 (5832)\n", - "Time (s): 82.70535\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 109.38261\n", "\n", "Generation 631/1000 [//////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.49268)\n", - "Val Loss (Med): 10.05083 (17.49268)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 69 (5832)\n", - "Time (s): 82.81795\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 109.51915\n", "\n", "Generation 632/1000 [//////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 82.93109\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 109.64523\n", "\n", "Generation 633/1000 [//////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.49268)\n", - "Val Loss (Med): 10.05083 (17.49268)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 69 (5832)\n", - "Time (s): 83.03855\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 109.80112\n", "\n", "Generation 634/1000 [//////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.40466)\n", - "Val Loss (Med): 10.05083 (17.40466)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 129 (5832)\n", - "Time (s): 83.14616\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 109.95110\n", "\n", "Generation 635/1000 [//////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.49268)\n", - "Val Loss (Med): 10.05083 (17.49268)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 69 (5832)\n", - "Time (s): 83.26066\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 110.12792\n", "\n", "Generation 636/1000 [//////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.40466)\n", - "Val Loss (Med): 10.05083 (17.40466)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 129 (5832)\n", - "Time (s): 83.37153\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 110.31178\n", "\n", "Generation 637/1000 [//////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 83.48416\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 110.47633\n", "\n", "Generation 638/1000 [//////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.39093)\n", - "Val Loss (Med): 10.05083 (17.39093)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 153 (5832)\n", - "Time (s): 83.60169\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 110.61160\n", "\n", "Generation 639/1000 [//////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.49268)\n", - "Val Loss (Med): 10.05083 (17.49268)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 69 (5832)\n", - "Time (s): 83.70930\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 110.76112\n", "\n", "Generation 640/1000 [///////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 83.82083\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 111.00100\n", "\n", "Generation 641/1000 [///////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 83.93462\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 111.27535\n", "\n", "Generation 642/1000 [///////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 84.04082\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 111.62981\n", "\n", "Generation 643/1000 [///////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 84.15331\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 111.94994\n", "\n", "Generation 644/1000 [///////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.39093)\n", - "Val Loss (Med): 10.05083 (17.39093)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 153 (5832)\n", - "Time (s): 84.27220\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 672 (5960)\n", + "Time (s): 112.18212\n", "\n", "Generation 645/1000 [///////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 84.38361\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 112.42207\n", "\n", "Generation 646/1000 [///////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.39093)\n", - "Val Loss (Med): 10.05083 (17.39093)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 153 (5832)\n", - "Time (s): 84.48307\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 112.61275\n", "\n", "Generation 647/1000 [///////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 84.59926\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 112.79601\n", "\n", "Generation 648/1000 [///////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.44867)\n", - "Val Loss (Med): 10.05083 (17.44867)\n", - "Median Size (Max): 9 (20)\n", - "Median complexity (Max): 99 (5832)\n", - "Time (s): 84.71366\n", + "Train Loss (Med): 9.69424 (12.84507)\n", + "Val Loss (Med): 9.69424 (12.84507)\n", + "Median Size (Max): 12 (20)\n", + "Median complexity (Max): 512 (5960)\n", + "Time (s): 112.97561\n", "\n", "Generation 649/1000 [///////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.39093)\n", - "Val Loss (Med): 10.05083 (17.39093)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 153 (5832)\n", - "Time (s): 84.83096\n", + "Train Loss (Med): 9.69424 (12.84507)\n", + "Val Loss (Med): 9.69424 (12.84507)\n", + "Median Size (Max): 12 (20)\n", + "Median complexity (Max): 512 (5960)\n", + "Time (s): 113.20809\n", "\n", "Generation 650/1000 [///////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.40466)\n", - "Val Loss (Med): 10.05083 (17.40466)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 129 (5832)\n", - "Time (s): 84.93015\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 672 (5960)\n", + "Time (s): 113.42254\n", "\n", "Generation 651/1000 [///////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 85.04342\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 10 (20)\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 113.67102\n", "\n", "Generation 652/1000 [///////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 85.15730\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 113.86909\n", "\n", "Generation 653/1000 [///////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.39093)\n", - "Val Loss (Med): 10.05083 (17.39093)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 153 (5832)\n", - "Time (s): 85.26291\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 114.06072\n", "\n", "Generation 654/1000 [///////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.49268)\n", - "Val Loss (Med): 10.05083 (17.49268)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 69 (5832)\n", - "Time (s): 85.37543\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 114.23773\n", "\n", "Generation 655/1000 [///////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 85.48849\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 10 (20)\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 114.42554\n", "\n", "Generation 656/1000 [///////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 5 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 85.59706\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 10 (20)\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 114.61052\n", "\n", "Generation 657/1000 [///////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 5 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 85.70570\n", + "Train Loss (Med): 9.69424 (12.84507)\n", + "Val Loss (Med): 9.69424 (12.84507)\n", + "Median Size (Max): 12 (20)\n", + "Median complexity (Max): 512 (5960)\n", + "Time (s): 114.76756\n", "\n", "Generation 658/1000 [///////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.44867)\n", - "Val Loss (Med): 10.05083 (17.44867)\n", - "Median Size (Max): 9 (20)\n", - "Median complexity (Max): 99 (5832)\n", - "Time (s): 85.81320\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 114.91307\n", "\n", "Generation 659/1000 [///////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.49268)\n", - "Val Loss (Med): 10.05083 (17.49268)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 69 (5832)\n", - "Time (s): 85.92009\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 672 (5960)\n", + "Time (s): 115.05402\n", "\n", "Generation 660/1000 [////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 86.02888\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 115.18869\n", "\n", "Generation 661/1000 [////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 86.13726\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 115.32441\n", "\n", "Generation 662/1000 [////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 86.24724\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 115.46983\n", "\n", "Generation 663/1000 [////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 86.35143\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 115.63840\n", "\n", "Generation 664/1000 [////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 86.46422\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 672 (5960)\n", + "Time (s): 115.78725\n", "\n", "Generation 665/1000 [////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 86.57346\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 115.94710\n", "\n", "Generation 666/1000 [////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 86.67989\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 116.09127\n", "\n", "Generation 667/1000 [////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 86.78625\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 116.23801\n", "\n", "Generation 668/1000 [////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.49268)\n", - "Val Loss (Med): 10.05083 (17.49268)\n", - "Median Size (Max): 7 (20)\n", - "Median complexity (Max): 69 (5832)\n", - "Time (s): 86.89616\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 116.38344\n", "\n", "Generation 669/1000 [////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.44867)\n", - "Val Loss (Med): 10.05083 (17.44867)\n", - "Median Size (Max): 9 (20)\n", - "Median complexity (Max): 99 (5832)\n", - "Time (s): 86.99425\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 116.53900\n", "\n", "Generation 670/1000 [////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 87.10327\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 116.68262\n", "\n", "Generation 671/1000 [////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 87.21213\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 116.82924\n", "\n", "Generation 672/1000 [////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 87.32806\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 117.01757\n", "\n", "Generation 673/1000 [////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 87.44424\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 117.19076\n", "\n", "Generation 674/1000 [////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 87.56490\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 117.38373\n", "\n", "Generation 675/1000 [////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 87.69073\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 117.56559\n", "\n", "Generation 676/1000 [////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 87.80367\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 117.74524\n", "\n", "Generation 677/1000 [////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.49268)\n", - "Val Loss (Med): 10.05083 (17.49268)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 69 (5832)\n", - "Time (s): 87.93051\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 117.91548\n", "\n", "Generation 678/1000 [////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.49268)\n", - "Val Loss (Med): 10.05083 (17.49268)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 69 (5832)\n", - "Time (s): 88.02969\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 118.06966\n", "\n", "Generation 679/1000 [////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.49268)\n", - "Val Loss (Med): 10.05083 (17.49268)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 69 (5832)\n", - "Time (s): 88.13832\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 118.30232\n", "\n", "Generation 680/1000 [/////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.40466)\n", - "Val Loss (Med): 10.05083 (17.40466)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 129 (5832)\n", - "Time (s): 88.25048\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 118.49435\n", "\n", "Generation 681/1000 [/////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.39093)\n", - "Val Loss (Med): 10.05083 (17.39093)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 153 (5832)\n", - "Time (s): 88.35863\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 118.70122\n", "\n", "Generation 682/1000 [/////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.39093)\n", - "Val Loss (Med): 10.05083 (17.39093)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 88.47471\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 118.87163\n", "\n", "Generation 683/1000 [/////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.40466)\n", - "Val Loss (Med): 10.05083 (17.40466)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 129 (5832)\n", - "Time (s): 88.58828\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 672 (5960)\n", + "Time (s): 119.09673\n", "\n", "Generation 684/1000 [/////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.49268)\n", - "Val Loss (Med): 10.05083 (17.49268)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 99 (5832)\n", - "Time (s): 88.69492\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 119.27495\n", "\n", "Generation 685/1000 [/////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.49268)\n", - "Val Loss (Med): 10.05083 (17.49268)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 69 (5832)\n", - "Time (s): 88.80779\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 119.45708\n", "\n", "Generation 686/1000 [/////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.44867)\n", - "Val Loss (Med): 10.05083 (17.44867)\n", - "Median Size (Max): 9 (20)\n", - "Median complexity (Max): 99 (5832)\n", - "Time (s): 88.92822\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 119.61692\n", "\n", "Generation 687/1000 [/////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 89.03956\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 119.76795\n", "\n", "Generation 688/1000 [/////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 89.15113\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 119.91563\n", "\n", "Generation 689/1000 [/////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 89.26711\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 120.07600\n", "\n", "Generation 690/1000 [/////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.40466)\n", - "Val Loss (Med): 10.05083 (17.40466)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 129 (5832)\n", - "Time (s): 89.37722\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 120.22500\n", "\n", "Generation 691/1000 [/////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 89.49284\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 672 (5960)\n", + "Time (s): 120.37773\n", "\n", "Generation 692/1000 [/////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.49268)\n", - "Val Loss (Med): 10.05083 (17.49268)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 69 (5832)\n", - "Time (s): 89.59908\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 120.52349\n", "\n", "Generation 693/1000 [/////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.40466)\n", - "Val Loss (Med): 10.05083 (17.40466)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 129 (5832)\n", - "Time (s): 89.70847\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 120.68537\n", "\n", "Generation 694/1000 [/////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.40466)\n", - "Val Loss (Med): 10.05083 (17.40466)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 129 (5832)\n", - "Time (s): 89.82148\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 120.82825\n", "\n", "Generation 695/1000 [/////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.67498)\n", - "Val Loss (Med): 10.05083 (17.67498)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 54 (5832)\n", - "Time (s): 89.93430\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 120.98313\n", "\n", "Generation 696/1000 [/////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.39093)\n", - "Val Loss (Med): 10.05083 (17.39093)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 153 (5832)\n", - "Time (s): 90.03532\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 121.20557\n", "\n", "Generation 697/1000 [/////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.39093)\n", - "Val Loss (Med): 10.05083 (17.39093)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 153 (5832)\n", - "Time (s): 90.14435\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 121.42416\n", "\n", "Generation 698/1000 [/////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.39093)\n", - "Val Loss (Med): 10.05083 (17.39093)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 153 (5832)\n", - "Time (s): 90.25172\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 121.61633\n", "\n", "Generation 699/1000 [/////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 90.36481\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 121.79118\n", "\n", "Generation 700/1000 [//////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.39093)\n", - "Val Loss (Med): 10.05083 (17.39093)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 153 (5832)\n", - "Time (s): 90.48008\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 122.02415\n", "\n", "Generation 701/1000 [//////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 90.59499\n", + "Median complexity (Max): 512 (5960)\n", + "Time (s): 122.24471\n", "\n", "Generation 702/1000 [//////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.44867)\n", - "Val Loss (Med): 10.05083 (17.44867)\n", - "Median Size (Max): 9 (20)\n", - "Median complexity (Max): 99 (5832)\n", - "Time (s): 90.69353\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 672 (5960)\n", + "Time (s): 122.45493\n", "\n", "Generation 703/1000 [//////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.49268)\n", - "Val Loss (Med): 10.05083 (17.49268)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 69 (5832)\n", - "Time (s): 90.79673\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 672 (5960)\n", + "Time (s): 122.72431\n", "\n", "Generation 704/1000 [//////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 90.91341\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 122.97725\n", "\n", "Generation 705/1000 [//////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.40466)\n", - "Val Loss (Med): 10.05083 (17.40466)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 129 (5832)\n", - "Time (s): 91.02682\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 123.22964\n", "\n", "Generation 706/1000 [//////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.39093)\n", - "Val Loss (Med): 10.05083 (17.39093)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 153 (5832)\n", - "Time (s): 91.13857\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 123.50247\n", "\n", "Generation 707/1000 [//////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 91.26099\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 123.81995\n", "\n", "Generation 708/1000 [//////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 91.37777\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 124.14291\n", "\n", "Generation 709/1000 [//////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.40466)\n", - "Val Loss (Med): 10.05083 (17.40466)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 129 (5832)\n", - "Time (s): 91.48720\n", + "Median complexity (Max): 344 (5960)\n", + "Time (s): 124.50631\n", "\n", "Generation 710/1000 [//////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 91.59081\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 124.77216\n", "\n", "Generation 711/1000 [//////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 91.70216\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 125.02368\n", "\n", "Generation 712/1000 [//////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 91.81371\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 672 (5960)\n", + "Time (s): 125.27663\n", "\n", "Generation 713/1000 [//////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 91.92439\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 672 (5960)\n", + "Time (s): 125.48701\n", "\n", "Generation 714/1000 [//////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 92.03013\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 125.74567\n", "\n", "Generation 715/1000 [//////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.40466)\n", - "Val Loss (Med): 10.05083 (17.40466)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 129 (5832)\n", - "Time (s): 92.13058\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 125.25931\n", "\n", "Generation 716/1000 [//////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.39093)\n", - "Val Loss (Med): 10.05083 (17.39093)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 153 (5832)\n", - "Time (s): 92.23856\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 125.50455\n", "\n", "Generation 717/1000 [//////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 92.34795\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 125.70752\n", "\n", "Generation 718/1000 [//////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 92.46616\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 125.89246\n", "\n", "Generation 719/1000 [//////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 92.58173\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 672 (5960)\n", + "Time (s): 126.06508\n", "\n", "Generation 720/1000 [///////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 92.69089\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 126.27053\n", "\n", "Generation 721/1000 [///////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 92.80193\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 126.54088\n", "\n", "Generation 722/1000 [///////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 92.92004\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 672 (5960)\n", + "Time (s): 126.76960\n", "\n", "Generation 723/1000 [///////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.39093)\n", - "Val Loss (Med): 10.05083 (17.39093)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 153 (5832)\n", - "Time (s): 93.03626\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 126.96831\n", "\n", "Generation 724/1000 [///////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 93.15092\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 127.12579\n", "\n", "Generation 725/1000 [///////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 93.26360\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 127.29691\n", "\n", "Generation 726/1000 [///////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 93.37560\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 127.48096\n", "\n", "Generation 727/1000 [///////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 93.48961\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 127.62804\n", "\n", "Generation 728/1000 [///////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 93.59655\n", + "Train Loss (Med): 9.69424 (12.84507)\n", + "Val Loss (Med): 9.69424 (12.84507)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 127.82181\n", "\n", "Generation 729/1000 [///////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 93.71429\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 127.98713\n", "\n", "Generation 730/1000 [///////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 93.83137\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 128.16356\n", "\n", "Generation 731/1000 [///////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 93.93898\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 128.35001\n", "\n", "Generation 732/1000 [///////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 94.04906\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 672 (5960)\n", + "Time (s): 128.55124\n", "\n", "Generation 733/1000 [///////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.01001)\n", - "Val Loss (Med): 10.05083 (16.01001)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 260 (5832)\n", - "Time (s): 94.16261\n", + "Median complexity (Max): 344 (5960)\n", + "Time (s): 128.69745\n", "\n", "Generation 734/1000 [///////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 94.27302\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 128.84067\n", "\n", "Generation 735/1000 [///////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (14.64283)\n", - "Val Loss (Med): 10.05083 (14.64283)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 344 (5832)\n", - "Time (s): 94.38823\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 128.97353\n", "\n", "Generation 736/1000 [///////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 94.49980\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 129.12480\n", "\n", "Generation 737/1000 [///////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.39093)\n", - "Val Loss (Med): 10.05083 (17.39093)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 153 (5832)\n", - "Time (s): 94.60928\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 129.28061\n", "\n", "Generation 738/1000 [///////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.40466)\n", - "Val Loss (Med): 10.05083 (17.40466)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 129 (5832)\n", - "Time (s): 94.71606\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 672 (5960)\n", + "Time (s): 129.43324\n", "\n", "Generation 739/1000 [///////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.40466)\n", - "Val Loss (Med): 10.05083 (17.40466)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 129 (5832)\n", - "Time (s): 94.82676\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 672 (5960)\n", + "Time (s): 129.57436\n", "\n", "Generation 740/1000 [////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 94.93179\n", + "Train Loss (Med): 9.69424 (12.84507)\n", + "Val Loss (Med): 9.69424 (12.84507)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 129.74097\n", "\n", "Generation 741/1000 [////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 95.04205\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 129.89027\n", "\n", "Generation 742/1000 [////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 95.15386\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 130.05170\n", "\n", "Generation 743/1000 [////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.49268)\n", - "Val Loss (Med): 10.05083 (17.49268)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 69 (5832)\n", - "Time (s): 95.25826\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 130.21457\n", "\n", "Generation 744/1000 [////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.40466)\n", - "Val Loss (Med): 10.05083 (17.40466)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 129 (5832)\n", - "Time (s): 95.37663\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 130.36513\n", "\n", "Generation 745/1000 [////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.44867)\n", - "Val Loss (Med): 10.05083 (17.44867)\n", - "Median Size (Max): 9 (20)\n", - "Median complexity (Max): 99 (5832)\n", - "Time (s): 95.47947\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 130.50984\n", "\n", "Generation 746/1000 [////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.39093)\n", - "Val Loss (Med): 10.05083 (17.39093)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 153 (5832)\n", - "Time (s): 95.58694\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 130.65260\n", "\n", "Generation 747/1000 [////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.39093)\n", - "Val Loss (Med): 10.05083 (17.39093)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 95.70786\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 130.80615\n", "\n", "Generation 748/1000 [////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.37720)\n", - "Val Loss (Med): 10.05083 (17.37720)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 177 (5832)\n", - "Time (s): 95.82375\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 130.97813\n", "\n", "Generation 749/1000 [////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.44867)\n", - "Val Loss (Med): 10.05083 (17.44867)\n", - "Median Size (Max): 9 (20)\n", - "Median complexity (Max): 99 (5832)\n", - "Time (s): 95.92889\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 10 (20)\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 131.13664\n", "\n", "Generation 750/1000 [////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 96.03616\n", + "Train Loss (Med): 9.69424 (12.84507)\n", + "Val Loss (Med): 9.69424 (12.84507)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 131.32005\n", "\n", "Generation 751/1000 [////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 96.13865\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 131.51080\n", "\n", "Generation 752/1000 [////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 96.24515\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 131.70177\n", "\n", "Generation 753/1000 [////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.05506)\n", - "Val Loss (Med): 10.05083 (17.05506)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 60 (5832)\n", - "Time (s): 96.34850\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 131.86444\n", "\n", "Generation 754/1000 [////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 7 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 96.45737\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 672 (5960)\n", + "Time (s): 132.01166\n", "\n", "Generation 755/1000 [////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 7 (20)\n", - "Median complexity (Max): 60 (5832)\n", - "Time (s): 96.56470\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 132.15825\n", "\n", "Generation 756/1000 [////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 96.67863\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 672 (5960)\n", + "Time (s): 132.30896\n", "\n", "Generation 757/1000 [////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (15.44783)\n", - "Val Loss (Med): 10.05083 (15.44783)\n", - "Median Size (Max): 9 (20)\n", - "Median complexity (Max): 212 (5832)\n", - "Time (s): 96.79350\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 132.46606\n", "\n", "Generation 758/1000 [////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 96.90439\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 132.62093\n", "\n", "Generation 759/1000 [////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 60 (5832)\n", - "Time (s): 97.01334\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 10 (20)\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 132.76694\n", "\n", "Generation 760/1000 [/////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 97.13055\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 132.92761\n", "\n", "Generation 761/1000 [/////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 97.24760\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 133.08180\n", "\n", "Generation 762/1000 [/////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 97.36115\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 133.23734\n", "\n", "Generation 763/1000 [/////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 97.47756\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 133.38762\n", "\n", "Generation 764/1000 [/////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 97.60207\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 133.55754\n", "\n", "Generation 765/1000 [/////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 97.72582\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 133.70686\n", "\n", "Generation 766/1000 [/////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 6 (20)\n", - "Median complexity (Max): 60 (5832)\n", - "Time (s): 97.84965\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 133.85832\n", "\n", "Generation 767/1000 [/////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 97.96827\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 134.00096\n", "\n", "Generation 768/1000 [/////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.05506)\n", - "Val Loss (Med): 10.05083 (17.05506)\n", - "Median Size (Max): 6 (20)\n", - "Median complexity (Max): 60 (5832)\n", - "Time (s): 98.08353\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 134.16888\n", "\n", "Generation 769/1000 [/////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 98.20241\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 672 (5960)\n", + "Time (s): 134.32855\n", "\n", "Generation 770/1000 [/////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 6 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 98.31452\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 134.49585\n", "\n", "Generation 771/1000 [/////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 98.42272\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 134.64627\n", "\n", "Generation 772/1000 [/////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 98.53300\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 134.80974\n", "\n", "Generation 773/1000 [/////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 98.63366\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 134.96576\n", "\n", "Generation 774/1000 [/////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 5 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 98.73618\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 135.10858\n", "\n", "Generation 775/1000 [/////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 98.83630\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 135.23906\n", "\n", "Generation 776/1000 [/////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 98.95014\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 135.36880\n", "\n", "Generation 777/1000 [/////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 99.05035\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 135.52011\n", "\n", "Generation 778/1000 [/////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 99.15716\n", + "Train Loss (Med): 9.69424 (12.84507)\n", + "Val Loss (Med): 9.69424 (12.84507)\n", + "Median Size (Max): 12 (20)\n", + "Median complexity (Max): 512 (5960)\n", + "Time (s): 135.71094\n", "\n", "Generation 779/1000 [/////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.05506)\n", - "Val Loss (Med): 10.05083 (17.05506)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 99.26572\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 135.86435\n", "\n", "Generation 780/1000 [//////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 99.36979\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 10 (20)\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 136.03891\n", "\n", "Generation 781/1000 [//////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 99.48322\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 10 (20)\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 136.21593\n", "\n", "Generation 782/1000 [//////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.05506)\n", - "Val Loss (Med): 10.05083 (17.05506)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 60 (5832)\n", - "Time (s): 99.58820\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 10 (20)\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 136.40404\n", "\n", "Generation 783/1000 [//////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 99.69755\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 672 (5960)\n", + "Time (s): 136.57478\n", "\n", "Generation 784/1000 [//////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 99.80453\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 136.76392\n", "\n", "Generation 785/1000 [//////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.05506)\n", - "Val Loss (Med): 10.05083 (17.05506)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 60 (5832)\n", - "Time (s): 99.91122\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 136.93367\n", "\n", "Generation 786/1000 [//////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 100.02869\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 137.10315\n", "\n", "Generation 787/1000 [//////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 100.16655\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 137.27316\n", "\n", "Generation 788/1000 [//////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 100.28944\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 137.46970\n", "\n", "Generation 789/1000 [//////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (14.64283)\n", - "Val Loss (Med): 10.05083 (14.64283)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 344 (5832)\n", - "Time (s): 100.41566\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 137.63576\n", "\n", "Generation 790/1000 [//////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (14.64283)\n", - "Val Loss (Med): 10.05083 (14.64283)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 344 (5832)\n", - "Time (s): 100.53663\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 137.79642\n", "\n", "Generation 791/1000 [//////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 100.64955\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 137.95677\n", "\n", "Generation 792/1000 [//////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (15.44783)\n", - "Val Loss (Med): 10.05083 (15.44783)\n", - "Median Size (Max): 9 (20)\n", - "Median complexity (Max): 212 (5832)\n", - "Time (s): 100.75506\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 138.13133\n", "\n", "Generation 793/1000 [//////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 100.87535\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 138.30054\n", "\n", "Generation 794/1000 [//////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 212 (5832)\n", - "Time (s): 100.98269\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 138.45168\n", "\n", "Generation 795/1000 [//////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (15.44783)\n", - "Val Loss (Med): 10.05083 (15.44783)\n", - "Median Size (Max): 9 (20)\n", - "Median complexity (Max): 212 (5832)\n", - "Time (s): 101.09209\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 10 (20)\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 138.59721\n", "\n", "Generation 796/1000 [//////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 101.19806\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 138.74374\n", "\n", "Generation 797/1000 [//////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (15.44783)\n", - "Val Loss (Med): 10.05083 (15.44783)\n", - "Median Size (Max): 9 (20)\n", - "Median complexity (Max): 212 (5832)\n", - "Time (s): 101.31547\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 138.88565\n", "\n", "Generation 798/1000 [//////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 101.42607\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 139.03220\n", "\n", "Generation 799/1000 [//////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 101.52640\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 139.19931\n", "\n", "Generation 800/1000 [///////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 101.63539\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 139.36790\n", "\n", "Generation 801/1000 [///////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 101.73928\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 139.52771\n", "\n", "Generation 802/1000 [///////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 101.83989\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 139.67195\n", "\n", "Generation 803/1000 [///////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 101.94599\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 10 (20)\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 139.81201\n", "\n", "Generation 804/1000 [///////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 5 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 102.05109\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 10 (20)\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 139.95604\n", "\n", "Generation 805/1000 [///////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 102.15649\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 10 (20)\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 140.13017\n", "\n", "Generation 806/1000 [///////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 102.27119\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 672 (5960)\n", + "Time (s): 140.28799\n", "\n", "Generation 807/1000 [///////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.05506)\n", - "Val Loss (Med): 10.05083 (17.05506)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 60 (5832)\n", - "Time (s): 102.37501\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 140.44211\n", "\n", "Generation 808/1000 [///////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 5 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 102.47613\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 140.60388\n", "\n", "Generation 809/1000 [///////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 102.58498\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 140.76413\n", "\n", "Generation 810/1000 [///////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 102.69841\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 672 (5960)\n", + "Time (s): 140.90358\n", "\n", "Generation 811/1000 [///////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.05506)\n", - "Val Loss (Med): 10.05083 (17.05506)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 60 (5832)\n", - "Time (s): 102.80621\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 141.05951\n", "\n", "Generation 812/1000 [///////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 5 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 102.91019\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 10 (20)\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 141.19852\n", "\n", "Generation 813/1000 [///////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 103.01402\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 672 (5960)\n", + "Time (s): 141.35263\n", "\n", "Generation 814/1000 [///////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 6 (20)\n", - "Median complexity (Max): 60 (5832)\n", - "Time (s): 103.12591\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 141.52248\n", "\n", "Generation 815/1000 [///////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 6 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 103.22503\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 672 (5960)\n", + "Time (s): 141.66536\n", "\n", "Generation 816/1000 [///////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 6 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 103.32730\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 141.82190\n", "\n", "Generation 817/1000 [///////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.05506)\n", - "Val Loss (Med): 10.05083 (17.05506)\n", - "Median Size (Max): 5 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 103.43367\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 672 (5960)\n", + "Time (s): 141.97043\n", "\n", "Generation 818/1000 [///////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 103.54833\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 142.10712\n", "\n", "Generation 819/1000 [///////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.05506)\n", - "Val Loss (Med): 10.05083 (17.05506)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 60 (5832)\n", - "Time (s): 103.64923\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 142.24120\n", "\n", "Generation 820/1000 [////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 103.75248\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 10 (20)\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 142.39915\n", "\n", "Generation 821/1000 [////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.05506)\n", - "Val Loss (Med): 10.05083 (17.05506)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 60 (5832)\n", - "Time (s): 103.86076\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 142.54199\n", "\n", "Generation 822/1000 [////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 103.96764\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 142.67654\n", "\n", "Generation 823/1000 [////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 6 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 104.07844\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 142.82693\n", "\n", "Generation 824/1000 [////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 104.18980\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 142.97539\n", "\n", "Generation 825/1000 [////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (15.44783)\n", - "Val Loss (Med): 10.05083 (15.44783)\n", - "Median Size (Max): 9 (20)\n", - "Median complexity (Max): 212 (5832)\n", - "Time (s): 104.31107\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 143.14876\n", "\n", "Generation 826/1000 [////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 104.41988\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 143.30913\n", "\n", "Generation 827/1000 [////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.05506)\n", - "Val Loss (Med): 10.05083 (17.05506)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 60 (5832)\n", - "Time (s): 104.53606\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 672 (5960)\n", + "Time (s): 143.46562\n", "\n", "Generation 828/1000 [////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 7 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 104.64659\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 672 (5960)\n", + "Time (s): 143.62556\n", "\n", "Generation 829/1000 [////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.05506)\n", - "Val Loss (Med): 10.05083 (17.05506)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 60 (5832)\n", - "Time (s): 104.75693\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 143.77974\n", "\n", "Generation 830/1000 [////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 7 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 104.86231\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 143.95610\n", "\n", "Generation 831/1000 [////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.94969)\n", - "Val Loss (Med): 10.05083 (17.94969)\n", - "Median Size (Max): 5 (20)\n", - "Median complexity (Max): 20 (5832)\n", - "Time (s): 104.95845\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 144.11659\n", "\n", "Generation 832/1000 [////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 7 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 105.06263\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 144.28923\n", "\n", "Generation 833/1000 [////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 105.16766\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 144.45078\n", "\n", "Generation 834/1000 [////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 105.27181\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 144.61974\n", "\n", "Generation 835/1000 [////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 105.37637\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 672 (5960)\n", + "Time (s): 144.77347\n", "\n", "Generation 836/1000 [////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 105.48051\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 144.91753\n", "\n", "Generation 837/1000 [////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 105.58483\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 145.06947\n", "\n", "Generation 838/1000 [////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 105.69225\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 10 (20)\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 145.22180\n", "\n", "Generation 839/1000 [////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 105.79507\n", + "Train Loss (Med): 9.69424 (12.84507)\n", + "Val Loss (Med): 9.69424 (12.84507)\n", + "Median Size (Max): 12 (20)\n", + "Median complexity (Max): 512 (5960)\n", + "Time (s): 145.35866\n", "\n", "Generation 840/1000 [/////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 5 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 105.90117\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 10 (20)\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 145.50169\n", "\n", "Generation 841/1000 [/////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.05506)\n", - "Val Loss (Med): 10.05083 (17.05506)\n", - "Median Size (Max): 5 (20)\n", - "Median complexity (Max): 60 (5832)\n", - "Time (s): 106.00713\n", + "Train Loss (Med): 9.69424 (12.84507)\n", + "Val Loss (Med): 9.69424 (12.84507)\n", + "Median Size (Max): 12 (20)\n", + "Median complexity (Max): 512 (5960)\n", + "Time (s): 145.64203\n", "\n", "Generation 842/1000 [/////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.05506)\n", - "Val Loss (Med): 10.05083 (17.05506)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 60 (5832)\n", - "Time (s): 106.11731\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 145.78156\n", "\n", "Generation 843/1000 [/////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (14.64283)\n", - "Val Loss (Med): 10.05083 (14.64283)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 344 (5832)\n", - "Time (s): 106.22476\n", + "Median complexity (Max): 352 (5960)\n", + "Time (s): 145.92317\n", "\n", "Generation 844/1000 [/////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (14.64283)\n", - "Val Loss (Med): 10.05083 (14.64283)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 344 (5832)\n", - "Time (s): 106.34841\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 146.09587\n", "\n", "Generation 845/1000 [/////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (14.64283)\n", - "Val Loss (Med): 10.05083 (14.64283)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 360 (5832)\n", - "Time (s): 106.46255\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 146.26161\n", "\n", "Generation 846/1000 [/////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (14.64283)\n", - "Val Loss (Med): 10.05083 (14.64283)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 352 (5832)\n", - "Time (s): 106.57139\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 146.43115\n", "\n", "Generation 847/1000 [/////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 106.68046\n", + "Train Loss (Med): 9.69424 (12.84507)\n", + "Val Loss (Med): 9.69424 (12.84507)\n", + "Median Size (Max): 12 (20)\n", + "Median complexity (Max): 512 (5960)\n", + "Time (s): 146.58257\n", "\n", "Generation 848/1000 [/////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 106.78826\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 146.72711\n", "\n", "Generation 849/1000 [/////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 6 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 106.89321\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 146.86537\n", "\n", "Generation 850/1000 [/////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 6 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 106.99909\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 147.00970\n", "\n", "Generation 851/1000 [/////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 107.10046\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 672 (5960)\n", + "Time (s): 147.17294\n", "\n", "Generation 852/1000 [/////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 107.21880\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 147.33687\n", "\n", "Generation 853/1000 [/////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 212 (5832)\n", - "Time (s): 107.32944\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 147.48833\n", "\n", "Generation 854/1000 [/////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.05506)\n", - "Val Loss (Med): 10.05083 (17.05506)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 60 (5832)\n", - "Time (s): 107.44819\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 672 (5960)\n", + "Time (s): 147.63942\n", "\n", "Generation 855/1000 [/////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 107.56585\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 672 (5960)\n", + "Time (s): 147.78375\n", "\n", "Generation 856/1000 [/////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 107.67780\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 147.94469\n", "\n", "Generation 857/1000 [/////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 5 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 107.80677\n", + "Train Loss (Med): 9.69424 (12.84507)\n", + "Val Loss (Med): 9.69424 (12.84507)\n", + "Median Size (Max): 12 (20)\n", + "Median complexity (Max): 512 (5960)\n", + "Time (s): 148.11421\n", "\n", "Generation 858/1000 [/////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 6 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 107.91885\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 148.25681\n", "\n", "Generation 859/1000 [/////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 108.04346\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 10 (20)\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 148.40581\n", "\n", "Generation 860/1000 [//////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (15.44783)\n", - "Val Loss (Med): 10.05083 (15.44783)\n", - "Median Size (Max): 9 (20)\n", - "Median complexity (Max): 212 (5832)\n", - "Time (s): 108.17677\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 148.59109\n", "\n", "Generation 861/1000 [//////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (15.44783)\n", - "Val Loss (Med): 10.05083 (15.44783)\n", - "Median Size (Max): 9 (20)\n", - "Median complexity (Max): 212 (5832)\n", - "Time (s): 108.30927\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 148.75368\n", "\n", "Generation 862/1000 [//////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 6 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 108.43055\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 148.95114\n", "\n", "Generation 863/1000 [//////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (15.44783)\n", - "Val Loss (Med): 10.05083 (15.44783)\n", - "Median Size (Max): 9 (20)\n", - "Median complexity (Max): 212 (5832)\n", - "Time (s): 108.56700\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 149.12991\n", "\n", "Generation 864/1000 [//////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.05506)\n", - "Val Loss (Med): 10.05083 (17.05506)\n", - "Median Size (Max): 6 (20)\n", - "Median complexity (Max): 60 (5832)\n", - "Time (s): 111.72895\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 149.31003\n", "\n", "Generation 865/1000 [//////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 111.85985\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 149.49429\n", "\n", "Generation 866/1000 [//////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (14.64283)\n", - "Val Loss (Med): 10.05083 (14.64283)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 344 (5832)\n", - "Time (s): 111.98597\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 149.67111\n", "\n", "Generation 867/1000 [//////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 5 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 112.11034\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 149.82744\n", "\n", "Generation 868/1000 [//////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 5 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 112.22987\n", + "Train Loss (Med): 9.69424 (12.84507)\n", + "Val Loss (Med): 9.69424 (12.84507)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 149.97807\n", "\n", "Generation 869/1000 [//////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 112.34448\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 672 (5960)\n", + "Time (s): 150.13373\n", "\n", "Generation 870/1000 [//////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 6 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 112.46043\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 150.29498\n", "\n", "Generation 871/1000 [//////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (14.64283)\n", - "Val Loss (Med): 10.05083 (14.64283)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 344 (5832)\n", - "Time (s): 112.58241\n", + "Median complexity (Max): 512 (5960)\n", + "Time (s): 150.43559\n", "\n", "Generation 872/1000 [//////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (14.64283)\n", - "Val Loss (Med): 10.05083 (14.64283)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 344 (5832)\n", - "Time (s): 112.70646\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 150.61913\n", "\n", "Generation 873/1000 [//////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (14.64283)\n", - "Val Loss (Med): 10.05083 (14.64283)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 344 (5832)\n", - "Time (s): 112.82629\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 150.78204\n", "\n", "Generation 874/1000 [//////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 112.93452\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 150.94135\n", "\n", "Generation 875/1000 [//////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 113.04459\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 151.10416\n", "\n", "Generation 876/1000 [//////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 113.16148\n", + "Train Loss (Med): 9.69424 (12.84507)\n", + "Val Loss (Med): 9.69424 (12.84507)\n", + "Median Size (Max): 12 (20)\n", + "Median complexity (Max): 512 (5960)\n", + "Time (s): 151.29668\n", "\n", "Generation 877/1000 [//////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.05506)\n", - "Val Loss (Med): 10.05083 (17.05506)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 113.28439\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 151.50684\n", "\n", "Generation 878/1000 [//////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 113.39814\n", + "Train Loss (Med): 9.69424 (12.84507)\n", + "Val Loss (Med): 9.69424 (12.84507)\n", + "Median Size (Max): 12 (20)\n", + "Median complexity (Max): 512 (5960)\n", + "Time (s): 151.70236\n", "\n", "Generation 879/1000 [//////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 113.52145\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 151.89453\n", "\n", "Generation 880/1000 [///////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 113.63659\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 10 (20)\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 152.10387\n", "\n", "Generation 881/1000 [///////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 113.76257\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 10 (20)\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 152.32394\n", "\n", "Generation 882/1000 [///////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 6 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 113.87366\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 10 (20)\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 152.54501\n", "\n", "Generation 883/1000 [///////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 113.99672\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 10 (20)\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 152.75661\n", "\n", "Generation 884/1000 [///////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.05506)\n", - "Val Loss (Med): 10.05083 (17.05506)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 60 (5832)\n", - "Time (s): 114.11225\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 152.97789\n", "\n", "Generation 885/1000 [///////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.05506)\n", - "Val Loss (Med): 10.05083 (17.05506)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 60 (5832)\n", - "Time (s): 114.22215\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 10 (20)\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 153.18129\n", "\n", "Generation 886/1000 [///////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 114.33367\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 10 (20)\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 153.35751\n", "\n", "Generation 887/1000 [///////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 5 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 114.44536\n", + "Train Loss (Med): 9.69424 (12.84507)\n", + "Val Loss (Med): 9.69424 (12.84507)\n", + "Median Size (Max): 12 (20)\n", + "Median complexity (Max): 512 (5960)\n", + "Time (s): 153.53668\n", "\n", "Generation 888/1000 [///////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.05506)\n", - "Val Loss (Med): 10.05083 (17.05506)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 60 (5832)\n", - "Time (s): 114.55318\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 10 (20)\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 153.70113\n", "\n", "Generation 889/1000 [///////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 5 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 114.66250\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 10 (20)\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 153.91241\n", "\n", "Generation 890/1000 [///////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 5 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 114.77615\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 10 (20)\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 154.25531\n", "\n", "Generation 891/1000 [///////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 114.88020\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 672 (5960)\n", + "Time (s): 154.51366\n", "\n", "Generation 892/1000 [///////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.05506)\n", - "Val Loss (Med): 10.05083 (17.05506)\n", - "Median Size (Max): 5 (20)\n", - "Median complexity (Max): 60 (5832)\n", - "Time (s): 114.99344\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 154.74612\n", "\n", "Generation 893/1000 [///////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 5 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 115.09887\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 672 (5960)\n", + "Time (s): 154.94205\n", "\n", "Generation 894/1000 [///////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 6 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 115.21745\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 155.11626\n", "\n", "Generation 895/1000 [///////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 6 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 115.33517\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 155.28680\n", "\n", "Generation 896/1000 [///////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.05506)\n", - "Val Loss (Med): 10.05083 (17.05506)\n", - "Median Size (Max): 5 (20)\n", - "Median complexity (Max): 60 (5832)\n", - "Time (s): 115.44640\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 10 (20)\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 155.44023\n", "\n", "Generation 897/1000 [///////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 6 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 115.56760\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 10 (20)\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 155.58786\n", "\n", "Generation 898/1000 [///////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (15.44783)\n", - "Val Loss (Med): 10.05083 (15.44783)\n", - "Median Size (Max): 9 (20)\n", - "Median complexity (Max): 212 (5832)\n", - "Time (s): 115.68590\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 155.72772\n", "\n", "Generation 899/1000 [///////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 115.81818\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 155.87634\n", "\n", "Generation 900/1000 [////////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.05506)\n", - "Val Loss (Med): 10.05083 (17.05506)\n", - "Median Size (Max): 5 (20)\n", - "Median complexity (Max): 60 (5832)\n", - "Time (s): 115.94136\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 156.01796\n", "\n", "Generation 901/1000 [////////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 116.07816\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 156.15627\n", "\n", "Generation 902/1000 [////////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (14.64283)\n", - "Val Loss (Med): 10.05083 (14.64283)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 344 (5832)\n", - "Time (s): 116.20011\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 156.29596\n", "\n", "Generation 903/1000 [////////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (14.64283)\n", - "Val Loss (Med): 10.05083 (14.64283)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 344 (5832)\n", - "Time (s): 116.32472\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 156.42928\n", "\n", "Generation 904/1000 [////////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (14.64283)\n", - "Val Loss (Med): 10.05083 (14.64283)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 360 (5832)\n", - "Time (s): 116.44774\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 672 (5960)\n", + "Time (s): 156.56125\n", "\n", "Generation 905/1000 [////////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (14.64283)\n", - "Val Loss (Med): 10.05083 (14.64283)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 344 (5832)\n", - "Time (s): 116.58068\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 156.73108\n", "\n", "Generation 906/1000 [////////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (14.64283)\n", - "Val Loss (Med): 10.05083 (14.64283)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 344 (5832)\n", - "Time (s): 116.69731\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 672 (5960)\n", + "Time (s): 156.87752\n", "\n", "Generation 907/1000 [////////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (14.64283)\n", - "Val Loss (Med): 10.05083 (14.64283)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 344 (5832)\n", - "Time (s): 116.82136\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 157.00697\n", "\n", "Generation 908/1000 [////////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (14.64283)\n", - "Val Loss (Med): 10.05083 (14.64283)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 344 (5832)\n", - "Time (s): 116.93911\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 157.14883\n", "\n", "Generation 909/1000 [////////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (15.44783)\n", - "Val Loss (Med): 10.05083 (15.44783)\n", - "Median Size (Max): 9 (20)\n", - "Median complexity (Max): 212 (5832)\n", - "Time (s): 117.05708\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 672 (5960)\n", + "Time (s): 157.27245\n", "\n", "Generation 910/1000 [////////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 117.16688\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 156.62016\n", "\n", "Generation 911/1000 [////////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 117.28751\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 156.73665\n", "\n", "Generation 912/1000 [////////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 117.40842\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 672 (5960)\n", + "Time (s): 156.86513\n", "\n", "Generation 913/1000 [////////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 5 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 117.52844\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 10 (20)\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 156.99049\n", "\n", "Generation 914/1000 [////////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.05506)\n", - "Val Loss (Med): 10.05083 (17.05506)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 60 (5832)\n", - "Time (s): 117.63895\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 672 (5960)\n", + "Time (s): 157.10974\n", "\n", "Generation 915/1000 [////////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (14.64283)\n", - "Val Loss (Med): 10.05083 (14.64283)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 344 (5832)\n", - "Time (s): 117.76203\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 157.24721\n", "\n", "Generation 916/1000 [////////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 117.87854\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 672 (5960)\n", + "Time (s): 157.38454\n", "\n", "Generation 917/1000 [////////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (14.64283)\n", - "Val Loss (Med): 10.05083 (14.64283)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 360 (5832)\n", - "Time (s): 117.99840\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 157.51050\n", "\n", "Generation 918/1000 [////////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 118.12251\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 157.63649\n", "\n", "Generation 919/1000 [////////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 118.24685\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 157.75906\n", "\n", "Generation 920/1000 [/////////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 118.38010\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 157.88576\n", "\n", "Generation 921/1000 [/////////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 118.51247\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 157.99733\n", "\n", "Generation 922/1000 [/////////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 118.63686\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 158.11458\n", "\n", "Generation 923/1000 [/////////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (15.44783)\n", - "Val Loss (Med): 10.05083 (15.44783)\n", - "Median Size (Max): 9 (20)\n", - "Median complexity (Max): 212 (5832)\n", - "Time (s): 118.78481\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 10 (20)\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 158.24309\n", "\n", "Generation 924/1000 [/////////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (14.64283)\n", - "Val Loss (Med): 10.05083 (14.64283)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 344 (5832)\n", - "Time (s): 118.91856\n", + "Train Loss (Med): 9.69424 (12.84507)\n", + "Val Loss (Med): 9.69424 (12.84507)\n", + "Median Size (Max): 12 (20)\n", + "Median complexity (Max): 512 (5960)\n", + "Time (s): 158.36412\n", "\n", "Generation 925/1000 [/////////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (14.64283)\n", - "Val Loss (Med): 10.05083 (14.64283)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 344 (5832)\n", - "Time (s): 119.05164\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 158.50464\n", "\n", "Generation 926/1000 [/////////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 119.18027\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 672 (5960)\n", + "Time (s): 158.67064\n", "\n", "Generation 927/1000 [/////////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (15.44783)\n", - "Val Loss (Med): 10.05083 (15.44783)\n", - "Median Size (Max): 9 (20)\n", - "Median complexity (Max): 212 (5832)\n", - "Time (s): 119.30977\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 158.83371\n", "\n", "Generation 928/1000 [/////////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 119.44257\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 158.98593\n", "\n", "Generation 929/1000 [/////////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (14.64283)\n", - "Val Loss (Med): 10.05083 (14.64283)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 344 (5832)\n", - "Time (s): 119.57184\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 159.13144\n", "\n", "Generation 930/1000 [/////////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (14.64283)\n", - "Val Loss (Med): 10.05083 (14.64283)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 344 (5832)\n", - "Time (s): 119.69348\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 159.27104\n", "\n", "Generation 931/1000 [/////////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 119.82001\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 159.40381\n", "\n", "Generation 932/1000 [/////////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 119.93972\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 10 (20)\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 159.53937\n", "\n", "Generation 933/1000 [/////////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.05506)\n", - "Val Loss (Med): 10.05083 (17.05506)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 60 (5832)\n", - "Time (s): 120.06892\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 672 (5960)\n", + "Time (s): 159.68042\n", "\n", "Generation 934/1000 [/////////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 5 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 120.18518\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 10 (20)\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 159.83133\n", "\n", "Generation 935/1000 [/////////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.05506)\n", - "Val Loss (Med): 10.05083 (17.05506)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 60 (5832)\n", - "Time (s): 120.30269\n", + "Train Loss (Med): 9.69424 (12.84507)\n", + "Val Loss (Med): 9.69424 (12.84507)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 160.00153\n", "\n", "Generation 936/1000 [/////////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 6 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 120.41573\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 10 (20)\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 160.16843\n", "\n", "Generation 937/1000 [/////////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 120.53682\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 10 (20)\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 160.31529\n", "\n", "Generation 938/1000 [/////////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 5 (20)\n", - "Median complexity (Max): 60 (5832)\n", - "Time (s): 120.65501\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 10 (20)\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 160.45792\n", "\n", "Generation 939/1000 [/////////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 120.77207\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 10 (20)\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 160.59593\n", "\n", "Generation 940/1000 [//////////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 120.89476\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 160.73840\n", "\n", "Generation 941/1000 [//////////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 121.00584\n", + "Train Loss (Med): 9.69424 (12.84507)\n", + "Val Loss (Med): 9.69424 (12.84507)\n", + "Median Size (Max): 12 (20)\n", + "Median complexity (Max): 512 (5960)\n", + "Time (s): 160.87332\n", "\n", "Generation 942/1000 [//////////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (14.64283)\n", - "Val Loss (Med): 10.05083 (14.64283)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 344 (5832)\n", - "Time (s): 121.11478\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 161.02438\n", "\n", "Generation 943/1000 [//////////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 121.25395\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 161.16724\n", "\n", "Generation 944/1000 [//////////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 121.37979\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 10 (20)\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 161.31003\n", "\n", "Generation 945/1000 [//////////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (14.64283)\n", - "Val Loss (Med): 10.05083 (14.64283)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 344 (5832)\n", - "Time (s): 121.50477\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 161.46257\n", "\n", "Generation 946/1000 [//////////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (14.64283)\n", - "Val Loss (Med): 10.05083 (14.64283)\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 344 (5832)\n", - "Time (s): 121.63972\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 161.60532\n", "\n", "Generation 947/1000 [//////////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.05506)\n", - "Val Loss (Med): 10.05083 (17.05506)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 121.76991\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 161.77437\n", "\n", "Generation 948/1000 [//////////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 121.88059\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 10 (20)\n", + "Median complexity (Max): 512 (5960)\n", + "Time (s): 161.93237\n", "\n", "Generation 949/1000 [//////////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 7 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 121.99713\n", + "Train Loss (Med): 9.69424 (12.84507)\n", + "Val Loss (Med): 9.69424 (12.84507)\n", + "Median Size (Max): 12 (20)\n", + "Median complexity (Max): 512 (5960)\n", + "Time (s): 162.09033\n", "\n", "Generation 950/1000 [//////////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 5 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 122.11983\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 162.24364\n", "\n", "Generation 951/1000 [//////////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.05506)\n", - "Val Loss (Med): 10.05083 (17.05506)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 60 (5832)\n", - "Time (s): 122.23674\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 12 (20)\n", + "Median complexity (Max): 512 (5960)\n", + "Time (s): 162.37827\n", "\n", "Generation 952/1000 [//////////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.94969)\n", - "Val Loss (Med): 10.05083 (17.94969)\n", - "Median Size (Max): 5 (20)\n", - "Median complexity (Max): 20 (5832)\n", - "Time (s): 122.34873\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 10 (20)\n", + "Median complexity (Max): 344 (5960)\n", + "Time (s): 162.51740\n", "\n", "Generation 953/1000 [//////////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 5 (20)\n", - "Median complexity (Max): 60 (5832)\n", - "Time (s): 122.46011\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 10 (20)\n", + "Median complexity (Max): 344 (5960)\n", + "Time (s): 162.64354\n", "\n", "Generation 954/1000 [//////////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 5 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 122.57928\n", + "Train Loss (Med): 9.69424 (12.84507)\n", + "Val Loss (Med): 9.69424 (12.84507)\n", + "Median Size (Max): 12 (20)\n", + "Median complexity (Max): 512 (5960)\n", + "Time (s): 162.77153\n", "\n", "Generation 955/1000 [//////////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 5 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 122.70163\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 10 (20)\n", + "Median complexity (Max): 352 (5960)\n", + "Time (s): 162.89084\n", "\n", "Generation 956/1000 [//////////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 5 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 122.81244\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 163.02704\n", "\n", "Generation 957/1000 [//////////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 122.92419\n", + "Train Loss (Med): 9.69424 (12.84507)\n", + "Val Loss (Med): 9.69424 (12.84507)\n", + "Median Size (Max): 12 (20)\n", + "Median complexity (Max): 512 (5960)\n", + "Time (s): 163.15587\n", "\n", "Generation 958/1000 [//////////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 123.04684\n", + "Train Loss (Med): 9.69424 (12.84507)\n", + "Val Loss (Med): 9.69424 (12.84507)\n", + "Median Size (Max): 12 (20)\n", + "Median complexity (Max): 512 (5960)\n", + "Time (s): 163.29117\n", "\n", "Generation 959/1000 [//////////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 123.16109\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 163.42210\n", "\n", "Generation 960/1000 [///////////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 123.27371\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 163.54994\n", "\n", "Generation 961/1000 [///////////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 123.38884\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 672 (5960)\n", + "Time (s): 163.66907\n", "\n", "Generation 962/1000 [///////////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.05506)\n", - "Val Loss (Med): 10.05083 (17.05506)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 60 (5832)\n", - "Time (s): 123.49720\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 163.80417\n", "\n", "Generation 963/1000 [///////////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 9 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 123.60970\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 163.93216\n", "\n", "Generation 964/1000 [///////////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 6 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 123.71613\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 164.07407\n", "\n", "Generation 965/1000 [///////////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 6 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 123.82330\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 164.19608\n", "\n", "Generation 966/1000 [///////////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 123.93706\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 672 (5960)\n", + "Time (s): 164.33287\n", "\n", "Generation 967/1000 [///////////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 124.05405\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 672 (5960)\n", + "Time (s): 164.46677\n", "\n", "Generation 968/1000 [///////////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.05506)\n", - "Val Loss (Med): 10.05083 (17.05506)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 124.16200\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 164.60892\n", "\n", "Generation 969/1000 [///////////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 124.27412\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 164.73738\n", "\n", "Generation 970/1000 [///////////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 5 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 124.38587\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 164.87637\n", "\n", "Generation 971/1000 [///////////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 5 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 124.48802\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 165.00168\n", "\n", "Generation 972/1000 [///////////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.05506)\n", - "Val Loss (Med): 10.05083 (17.05506)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 60 (5832)\n", - "Time (s): 124.59055\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 165.13560\n", "\n", "Generation 973/1000 [///////////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 6 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 124.69358\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 165.26881\n", "\n", "Generation 974/1000 [///////////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 124.80029\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 10 (20)\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 165.40445\n", "\n", "Generation 975/1000 [///////////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 5 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 124.89751\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 165.53076\n", "\n", "Generation 976/1000 [///////////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 6 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 125.00878\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 672 (5960)\n", + "Time (s): 165.65033\n", "\n", "Generation 977/1000 [///////////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (14.64283)\n", - "Val Loss (Med): 10.05083 (14.64283)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 344 (5832)\n", - "Time (s): 125.11525\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 165.76808\n", "\n", "Generation 978/1000 [///////////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 125.22668\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 165.89363\n", "\n", "Generation 979/1000 [///////////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.05083 (14.64283)\n", - "Val Loss (Med): 10.05083 (14.64283)\n", - "Median Size (Max): 10 (20)\n", - "Median complexity (Max): 344 (5832)\n", - "Time (s): 125.33854\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 166.01985\n", "\n", "Generation 980/1000 [//////////////////////////////////////////////////]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 125.44106\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 166.14194\n", "\n", "Generation 981/1000 [//////////////////////////////////////////////////]\n", - "Train Loss (Med): 10.05083 (17.05506)\n", - "Val Loss (Med): 10.05083 (17.05506)\n", - "Median Size (Max): 7 (20)\n", - "Median complexity (Max): 60 (5832)\n", - "Time (s): 125.54669\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 166.26117\n", "\n", "Generation 982/1000 [//////////////////////////////////////////////////]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 6 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 125.65842\n", + "Train Loss (Med): 9.69424 (12.84507)\n", + "Val Loss (Med): 9.69424 (12.84507)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 166.39273\n", "\n", "Generation 983/1000 [//////////////////////////////////////////////////]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 6 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 125.76167\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 166.51340\n", "\n", "Generation 984/1000 [//////////////////////////////////////////////////]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 125.87017\n", + "Train Loss (Med): 9.69424 (12.84507)\n", + "Val Loss (Med): 9.69424 (12.84507)\n", + "Median Size (Max): 12 (20)\n", + "Median complexity (Max): 512 (5960)\n", + "Time (s): 166.63779\n", "\n", "Generation 985/1000 [//////////////////////////////////////////////////]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 5 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 125.96871\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 10 (20)\n", + "Median complexity (Max): 352 (5960)\n", + "Time (s): 166.75610\n", "\n", "Generation 986/1000 [//////////////////////////////////////////////////]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 5 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 126.08244\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 166.88414\n", "\n", "Generation 987/1000 [//////////////////////////////////////////////////]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 5 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 126.19009\n", + "Train Loss (Med): 9.69424 (12.84507)\n", + "Val Loss (Med): 9.69424 (12.84507)\n", + "Median Size (Max): 12 (20)\n", + "Median complexity (Max): 512 (5960)\n", + "Time (s): 167.00522\n", "\n", "Generation 988/1000 [//////////////////////////////////////////////////]\n", - "Train Loss (Med): 10.05083 (17.90349)\n", - "Val Loss (Med): 10.05083 (17.90349)\n", - "Median Size (Max): 5 (20)\n", - "Median complexity (Max): 30 (5832)\n", - "Time (s): 126.29807\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 167.13660\n", "\n", "Generation 989/1000 [//////////////////////////////////////////////////]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 5 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 126.40271\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 167.26393\n", "\n", "Generation 990/1000 [//////////////////////////////////////////////////]\n", - "Train Loss (Med): 10.05083 (17.85729)\n", - "Val Loss (Med): 10.05083 (17.85729)\n", - "Median Size (Max): 5 (20)\n", - "Median complexity (Max): 40 (5832)\n", - "Time (s): 126.50418\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 167.38948\n", "\n", "Generation 991/1000 [//////////////////////////////////////////////////]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 126.63825\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 672 (5960)\n", + "Time (s): 167.51877\n", "\n", "Generation 992/1000 [//////////////////////////////////////////////////]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 5 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 126.75478\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 167.65141\n", "\n", "Generation 993/1000 [//////////////////////////////////////////////////]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 126.86494\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 680 (5960)\n", + "Time (s): 167.78491\n", "\n", "Generation 994/1000 [//////////////////////////////////////////////////]\n", - "Train Loss (Med): 10.05083 (15.44783)\n", - "Val Loss (Med): 10.05083 (15.44783)\n", - "Median Size (Max): 9 (20)\n", - "Median complexity (Max): 212 (5832)\n", - "Time (s): 126.97802\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 672 (5960)\n", + "Time (s): 167.91393\n", "\n", "Generation 995/1000 [//////////////////////////////////////////////////]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 5 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 127.09204\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 168.03479\n", "\n", "Generation 996/1000 [//////////////////////////////////////////////////]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 5 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 127.19161\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 168.15829\n", "\n", "Generation 997/1000 [//////////////////////////////////////////////////]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 212 (5832)\n", - "Time (s): 127.30207\n", + "Train Loss (Med): 9.69424 (14.64283)\n", + "Val Loss (Med): 9.69424 (14.64283)\n", + "Median Size (Max): 12 (20)\n", + "Median complexity (Max): 360 (5960)\n", + "Time (s): 168.28223\n", "\n", "Generation 998/1000 [//////////////////////////////////////////////////]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 6 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 127.40347\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 168.41026\n", "\n", "Generation 999/1000 [//////////////////////////////////////////////////]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 127.50599\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 664 (5960)\n", + "Time (s): 168.52434\n", "\n", "Generation 1000/1000 [//////////////////////////////////////////////////]\n", - "Train Loss (Med): 10.05083 (16.25283)\n", - "Val Loss (Med): 10.05083 (16.25283)\n", - "Median Size (Max): 8 (20)\n", - "Median complexity (Max): 80 (5832)\n", - "Time (s): 127.61351\n", + "Train Loss (Med): 9.69424 (11.04730)\n", + "Val Loss (Med): 9.69424 (11.04730)\n", + "Median Size (Max): 15 (20)\n", + "Median complexity (Max): 672 (5960)\n", + "Time (s): 168.65068\n", "\n", "saving final population as archive...\n" ] @@ -7700,8 +7700,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "R2 score: 0.8887999653084887\n", - "RMSE : 3.170304517959994\n" + "R2 score: 0.8927451994049659\n", + "RMSE : 3.1135574828937838\n" ] } ], @@ -7722,7 +7722,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "model: If(x0>0.75,Add(0.05*x1,18.84*x6),Add(0.02*x1,10.47*x6))\n" + "model: 0.05*Sub(If(x0>0.75,x2,-180.09*x6),Sub(-371.12*x6,0.35*x1))\n" ] }, { @@ -7734,101 +7734,106 @@ "\n", "\n", - "\n", + "\n", "\n", "G\n", - "\n", + "\n", "\n", "\n", "y\n", - "\n", - "y\n", + "\n", + "y\n", "\n", - "\n", + "\n", "\n", - "7f6a9412a780\n", - "\n", - "x0>0.75?\n", + "7f0178123b60\n", + "\n", + "Sub\n", "\n", - "\n", + "\n", "\n", - "y->7f6a9412a780\n", - "\n", - "\n", - "0.75\n", + "y->7f0178123b60\n", + "\n", + "\n", + "0.05\n", "\n", - "\n", + "\n", "\n", - "7f6a940ec470\n", - "\n", - "Add\n", + "7f0178124000\n", + "\n", + "x0>0.75?\n", "\n", - "\n", + "\n", "\n", - "7f6a9412a780->7f6a940ec470\n", - "\n", - "\n", - "Y\n", + "7f0178123b60->7f0178124000\n", + "\n", + "\n", "\n", - "\n", + "\n", "\n", - "7f6a9411b760\n", - "\n", - "Add\n", + "7f017817f210\n", + "\n", + "Sub\n", "\n", - "\n", + "\n", "\n", - "7f6a9412a780->7f6a9411b760\n", - "\n", - "\n", - "N\n", + "7f0178123b60->7f017817f210\n", + "\n", + "\n", "\n", - "\n", + "\n", "\n", - "x1\n", - "\n", - "x1\n", + "x2\n", + "\n", + "x2\n", "\n", - "\n", + "\n", "\n", - "7f6a940ec470->x1\n", - "\n", - "\n", - "0.05\n", + "7f0178124000->x2\n", + "\n", + "\n", + "Y\n", "\n", "\n", "\n", "x6\n", - "\n", - "x6\n", + "\n", + "x6\n", "\n", - "\n", + "\n", "\n", - "7f6a940ec470->x6\n", - "\n", - "\n", - "18.84\n", + "7f0178124000->x6\n", + "\n", + "\n", + "-180.09\n", + "N\n", "\n", - "\n", + "\n", "\n", - "7f6a9411b760->x1\n", - "\n", - "\n", - "0.02\n", + "7f017817f210->x6\n", + "\n", + "\n", + "-371.12\n", + "\n", + "\n", + "\n", + "x1\n", + "\n", + "x1\n", "\n", - "\n", + "\n", "\n", - "7f6a9411b760->x6\n", - "\n", - "\n", - "10.47\n", + "7f017817f210->x1\n", + "\n", + "\n", + "0.35\n", "\n", "\n", "\n" ], "text/plain": [ - "" + "" ] }, "execution_count": 6, @@ -7915,32 +7920,32 @@ "text": [ "=== Search space ===\n", "terminal_map: {\"ArrayB\": [\"1.00\"], \"ArrayI\": [\"x5\", \"x7\", \"1.00\"], \"ArrayF\": [\"x0\", \"x1\", \"x2\", \"x3\", \"x4\", \"x6\", \"1.00\", \"1.00\"]}\n", - "terminal_weights: {\"ArrayB\": [1], \"ArrayI\": [1, 0.0010178406, 0.28799203], \"ArrayF\": [4.8073703e-06, 7.274217e-07, 0.0005925358, 6.486696e-05, 1, 1.2500631e-06, 0.008476753, 0.00039202432]}\n", + "terminal_weights: {\"ArrayB\": [1], \"ArrayI\": [7.726212e-06, 0.0008030801, 1], \"ArrayF\": [0.015066296, 0.08747693, 7.332599e-05, 0.00019053262, 0.068911366, 6.3050647e-06, 1, 0.68936926]}\n", "node_map[ArrayI][[\"ArrayF\", \"ArrayI\", \"ArrayI\"]][SplitOn] = 1.00*SplitOn, weight = 1\n", "node_map[ArrayI][[\"ArrayI\", \"ArrayI\", \"ArrayI\"]][SplitOn] = 1.00*SplitOn, weight = 1\n", "node_map[ArrayI][[\"ArrayI\", \"ArrayI\"]][SplitBest] = 1.00*SplitBest, weight = 1\n", - "node_map[MatrixF][[\"ArrayF\", \"ArrayF\", \"ArrayF\", \"ArrayF\"]][Logabs] = 1.00*Logabs, weight = 0.16407393\n", - "node_map[MatrixF][[\"ArrayF\", \"ArrayF\", \"ArrayF\", \"ArrayF\"]][Exp] = 1.00*Exp, weight = 0.008058937\n", - "node_map[MatrixF][[\"ArrayF\", \"ArrayF\", \"ArrayF\", \"ArrayF\"]][Sin] = 1.00*Sin, weight = 0.88932514\n", + "node_map[MatrixF][[\"ArrayF\", \"ArrayF\", \"ArrayF\", \"ArrayF\"]][Logabs] = 1.00*Logabs, weight = 6.086069e-06\n", + "node_map[MatrixF][[\"ArrayF\", \"ArrayF\", \"ArrayF\", \"ArrayF\"]][Exp] = 1.00*Exp, weight = 0.009446956\n", + "node_map[MatrixF][[\"ArrayF\", \"ArrayF\", \"ArrayF\", \"ArrayF\"]][Sin] = 1.00*Sin, weight = 0.00026960243\n", "node_map[MatrixF][[\"ArrayF\", \"ArrayF\", \"ArrayF\", \"ArrayF\"]][Cos] = 1.00*Cos, weight = 1\n", - "node_map[MatrixF][[\"ArrayF\", \"ArrayF\", \"ArrayF\"]][Logabs] = 1.00*Logabs, weight = 1\n", - "node_map[MatrixF][[\"ArrayF\", \"ArrayF\", \"ArrayF\"]][Exp] = 1.00*Exp, weight = 3.1962907e-06\n", - "node_map[MatrixF][[\"ArrayF\", \"ArrayF\", \"ArrayF\"]][Sin] = 1.00*Sin, weight = 0.9377093\n", - "node_map[MatrixF][[\"ArrayF\", \"ArrayF\", \"ArrayF\"]][Cos] = 1.00*Cos, weight = 0.030690275\n", - "node_map[MatrixF][[\"ArrayF\", \"ArrayF\"]][Logabs] = 1.00*Logabs, weight = 0.014878825\n", - "node_map[MatrixF][[\"ArrayF\", \"ArrayF\"]][Exp] = 1.00*Exp, weight = 0.015533507\n", - "node_map[MatrixF][[\"ArrayF\", \"ArrayF\"]][Sin] = 1.00*Sin, weight = 0.0011396428\n", - "node_map[MatrixF][[\"ArrayF\", \"ArrayF\"]][Cos] = 1.00*Cos, weight = 1\n", + "node_map[MatrixF][[\"ArrayF\", \"ArrayF\", \"ArrayF\"]][Logabs] = 1.00*Logabs, weight = 0.17747183\n", + "node_map[MatrixF][[\"ArrayF\", \"ArrayF\", \"ArrayF\"]][Exp] = 1.00*Exp, weight = 0.54766744\n", + "node_map[MatrixF][[\"ArrayF\", \"ArrayF\", \"ArrayF\"]][Sin] = 1.00*Sin, weight = 0.15102488\n", + "node_map[MatrixF][[\"ArrayF\", \"ArrayF\", \"ArrayF\"]][Cos] = 1.00*Cos, weight = 1\n", + "node_map[MatrixF][[\"ArrayF\", \"ArrayF\"]][Logabs] = 1.00*Logabs, weight = 0.0013758657\n", + "node_map[MatrixF][[\"ArrayF\", \"ArrayF\"]][Exp] = 1.00*Exp, weight = 1\n", + "node_map[MatrixF][[\"ArrayF\", \"ArrayF\"]][Sin] = 1.00*Sin, weight = 1.3229892e-05\n", + "node_map[MatrixF][[\"ArrayF\", \"ArrayF\"]][Cos] = 1.00*Cos, weight = 0.0010855383\n", "node_map[ArrayF][[\"ArrayI\", \"ArrayF\", \"ArrayF\"]][SplitOn] = 1.00*SplitOn, weight = 1\n", "node_map[ArrayF][[\"ArrayF\", \"ArrayF\", \"ArrayF\"]][SplitOn] = 1.00*SplitOn, weight = 1\n", - "node_map[ArrayF][[\"ArrayF\", \"ArrayF\"]][SplitBest] = 1.00*SplitBest, weight = 0.00069084455\n", + "node_map[ArrayF][[\"ArrayF\", \"ArrayF\"]][SplitBest] = 1.00*SplitBest, weight = 7.190146e-05\n", "node_map[ArrayF][[\"ArrayF\", \"ArrayF\"]][Mul] = 1.00*Mul, weight = 1\n", - "node_map[ArrayF][[\"ArrayF\", \"ArrayF\"]][Sub] = 1.00*Sub, weight = 0.00078883296\n", - "node_map[ArrayF][[\"ArrayF\", \"ArrayF\"]][Add] = 1.00*Add, weight = 0.00017112767\n", - "node_map[ArrayF][[\"ArrayF\"]][Logabs] = 1.00*Logabs, weight = 0.096173145\n", - "node_map[ArrayF][[\"ArrayF\"]][Exp] = 1.00*Exp, weight = 1\n", - "node_map[ArrayF][[\"ArrayF\"]][Sin] = 1.00*Sin, weight = 0.0018204876\n", - "node_map[ArrayF][[\"ArrayF\"]][Cos] = 1.00*Cos, weight = 0.2620938\n", + "node_map[ArrayF][[\"ArrayF\", \"ArrayF\"]][Sub] = 1.00*Sub, weight = 2.8463228e-07\n", + "node_map[ArrayF][[\"ArrayF\", \"ArrayF\"]][Add] = 1.00*Add, weight = 0.0071998243\n", + "node_map[ArrayF][[\"ArrayF\"]][Logabs] = 1.00*Logabs, weight = 0.030013097\n", + "node_map[ArrayF][[\"ArrayF\"]][Exp] = 1.00*Exp, weight = 5.269508e-06\n", + "node_map[ArrayF][[\"ArrayF\"]][Sin] = 1.00*Sin, weight = 1\n", + "node_map[ArrayF][[\"ArrayF\"]][Cos] = 1.00*Cos, weight = 1.8931942e-06\n", "\n" ] } @@ -7984,8 +7989,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "0.003701126668602228\n", - "{'delete': 0.08519456535577774, 'insert': 1.0, 'point': 0.0016215168870985508, 'subtree': 0.015428934246301651, 'toggle_weight_off': 0.000259377877227962, 'toggle_weight_on': 0.009287972934544086}\n" + "2.7723957828129642e-05\n", + "{'delete': 0.0006851187790744007, 'insert': 0.023728830739855766, 'point': 0.7015734314918518, 'subtree': 0.3028952181339264, 'toggle_weight_off': 0.00012576028530020267, 'toggle_weight_on': 1.0}\n" ] } ], diff --git a/docs/guide/saving_loading_populations.ipynb b/docs/guide/saving_loading_populations.ipynb index 8ba5dac7..36a7b038 100644 --- a/docs/guide/saving_loading_populations.ipynb +++ b/docs/guide/saving_loading_populations.ipynb @@ -48,77 +48,77 @@ "output_type": "stream", "text": [ "Generation 1/10 [////// ]\n", - "Train Loss (Med): 10.84173 (60.79966)\n", - "Val Loss (Med): 10.84173 (60.79966)\n", - "Median Size (Max): 3 (19)\n", - "Median complexity (Max): 20 (13448)\n", - "Time (s): 0.48435\n", + "Train Loss (Med): 14.12979 (72.35345)\n", + "Val Loss (Med): 90.38514 (72.35345)\n", + "Median Size (Max): 3 (24)\n", + "Median complexity (Max): 20 (25928)\n", + "Time (s): 0.06040\n", "\n", "Generation 2/10 [/////////// ]\n", - "Train Loss (Med): 10.84173 (29.46077)\n", - "Val Loss (Med): 10.84173 (29.46077)\n", - "Median Size (Max): 4 (20)\n", - "Median complexity (Max): 20 (10392)\n", - "Time (s): 0.96259\n", + "Train Loss (Med): 14.12979 (17.94969)\n", + "Val Loss (Med): 14.12979 (17.94969)\n", + "Median Size (Max): 3 (20)\n", + "Median complexity (Max): 20 (19464)\n", + "Time (s): 0.11851\n", "\n", "Generation 3/10 [//////////////// ]\n", - "Train Loss (Med): 10.64540 (17.94969)\n", - "Val Loss (Med): 10.64540 (17.94969)\n", - "Median Size (Max): 3 (20)\n", - "Median complexity (Max): 20 (5960)\n", - "Time (s): 1.39985\n", + "Train Loss (Med): 10.84173 (17.94969)\n", + "Val Loss (Med): 14.12979 (17.94969)\n", + "Median Size (Max): 7 (21)\n", + "Median complexity (Max): 344 (10696)\n", + "Time (s): 0.18745\n", "\n", "Generation 4/10 [///////////////////// ]\n", - "Train Loss (Med): 10.64540 (17.94969)\n", - "Val Loss (Med): 10.64540 (17.94969)\n", - "Median Size (Max): 3 (19)\n", - "Median complexity (Max): 20 (5832)\n", - "Time (s): 1.87186\n", + "Train Loss (Med): 10.84173 (17.94969)\n", + "Val Loss (Med): 10.84173 (17.94969)\n", + "Median Size (Max): 7 (23)\n", + "Median complexity (Max): 344 (10696)\n", + "Time (s): 0.25553\n", "\n", "Generation 5/10 [////////////////////////// ]\n", - "Train Loss (Med): 10.64540 (17.94969)\n", - "Val Loss (Med): 10.64540 (17.94969)\n", - "Median Size (Max): 3 (17)\n", - "Median complexity (Max): 20 (1224)\n", - "Time (s): 2.35484\n", + "Train Loss (Med): 10.43983 (16.75967)\n", + "Val Loss (Med): 10.84173 (16.75967)\n", + "Median Size (Max): 8 (23)\n", + "Median complexity (Max): 344 (10408)\n", + "Time (s): 0.33158\n", "\n", "Generation 6/10 [/////////////////////////////// ]\n", - "Train Loss (Med): 10.64540 (17.94969)\n", - "Val Loss (Med): 10.64540 (17.94969)\n", - "Median Size (Max): 3 (17)\n", - "Median complexity (Max): 20 (1224)\n", - "Time (s): 2.71283\n", + "Train Loss (Med): 10.43983 (17.94969)\n", + "Val Loss (Med): 10.43983 (17.94969)\n", + "Median Size (Max): 6 (20)\n", + "Median complexity (Max): 20 (9928)\n", + "Time (s): 0.40883\n", "\n", "Generation 7/10 [//////////////////////////////////// ]\n", - "Train Loss (Med): 10.64540 (17.94969)\n", - "Val Loss (Med): 10.64540 (17.94969)\n", - "Median Size (Max): 3 (17)\n", - "Median complexity (Max): 20 (1224)\n", - "Time (s): 3.14323\n", + "Train Loss (Med): 10.43983 (17.90349)\n", + "Val Loss (Med): 10.43983 (17.90349)\n", + "Median Size (Max): 5 (20)\n", + "Median complexity (Max): 46 (9928)\n", + "Time (s): 0.48404\n", "\n", "Generation 8/10 [///////////////////////////////////////// ]\n", - "Train Loss (Med): 10.64540 (17.94969)\n", - "Val Loss (Med): 10.64540 (17.94969)\n", - "Median Size (Max): 3 (17)\n", - "Median complexity (Max): 20 (968)\n", - "Time (s): 3.55371\n", + "Train Loss (Med): 10.43983 (17.94969)\n", + "Val Loss (Med): 10.43983 (17.94969)\n", + "Median Size (Max): 3 (20)\n", + "Median complexity (Max): 20 (9928)\n", + "Time (s): 0.56103\n", "\n", "Generation 9/10 [////////////////////////////////////////////// ]\n", - "Train Loss (Med): 10.26326 (16.75427)\n", - "Val Loss (Med): 10.26326 (16.75427)\n", - "Median Size (Max): 7 (19)\n", - "Median complexity (Max): 114 (5832)\n", - "Time (s): 4.02579\n", + "Train Loss (Med): 10.13702 (16.93618)\n", + "Val Loss (Med): 10.43983 (16.93618)\n", + "Median Size (Max): 7 (20)\n", + "Median complexity (Max): 144 (11384)\n", + "Time (s): 0.63334\n", "\n", "Generation 10/10 [//////////////////////////////////////////////////]\n", - "Train Loss (Med): 10.26326 (15.05465)\n", - "Val Loss (Med): 10.26326 (15.05465)\n", - "Median Size (Max): 9 (19)\n", - "Median complexity (Max): 232 (5832)\n", - "Time (s): 4.57407\n", + "Train Loss (Med): 10.13702 (16.41696)\n", + "Val Loss (Med): 10.13702 (16.41696)\n", + "Median Size (Max): 8 (20)\n", + "Median complexity (Max): 144 (11384)\n", + "Time (s): 0.71027\n", "\n", - "Saved population to file /tmp/tmp_r7icq5o/population.json\n", - "score: 0.8864496494920485\n" + "Saved population to file /tmp/tmprhw9ljoe/population.json\n", + "score: 0.887846384165187\n" ] } ], @@ -161,10 +161,10 @@ "name": "stdout", "output_type": "stream", "text": [ - "Loaded population from /tmp/tmp_r7icq5o/population.json of size = 200\n", + "Loaded population from /tmp/tmprhw9ljoe/population.json of size = 200\n", "Completed 100% [====================]\n", "saving final population as archive...\n", - "score: 0.8864496494920485\n" + "score: 0.887846384165187\n" ] } ], @@ -203,9 +203,9 @@ "name": "stdout", "output_type": "stream", "text": [ - "Loaded population from /tmp/tmp_r7icq5o/population.json of size = 200\n", + "Loaded population from /tmp/tmprhw9ljoe/population.json of size = 200\n", "Completed 100% [====================]\n", - "{'complexity': 5832, 'crowding_dist': 0.0, 'dcounter': 0, 'depth': 3, 'dominated': [], 'linear_complexity': 39, 'loss': 10.263264656066895, 'loss_v': 10.263264656066895, 'rank': 1, 'size': 19, 'values': [10.263264656066895, 19.0], 'weights': [-1.0, -1.0], 'wvalues': [-10.263264656066895, -19.0]}\n" + "{'complexity': 7032, 'crowding_dist': 0.0, 'dcounter': 0, 'depth': 3, 'dominated': [], 'linear_complexity': 45, 'loss': 10.137018203735352, 'loss_v': 10.137018203735352, 'rank': 1, 'size': 18, 'values': [10.137018203735352, 18.0], 'weights': [-1.0, -1.0], 'wvalues': [-10.137018203735352, -18.0]}\n" ] } ], @@ -256,78 +256,78 @@ "output_type": "stream", "text": [ "Generation 1/10 [////// ]\n", - "Train Loss (Med): 0.54853 (0.69315)\n", - "Val Loss (Med): 0.54853 (0.69315)\n", + "Train Loss (Med): 0.54848 (0.69315)\n", + "Val Loss (Med): 0.69315 (0.69315)\n", "Median Size (Max): 5 (12)\n", "Median complexity (Max): 128 (38816)\n", - "Time (s): 0.57865\n", + "Time (s): 0.06602\n", "\n", "Generation 2/10 [/////////// ]\n", - "Train Loss (Med): 0.54853 (0.69315)\n", - "Val Loss (Med): 0.54853 (0.69315)\n", + "Train Loss (Med): 0.54848 (0.69315)\n", + "Val Loss (Med): 0.54848 (0.69315)\n", "Median Size (Max): 5 (12)\n", - "Median complexity (Max): 80 (38816)\n", - "Time (s): 1.06859\n", + "Median complexity (Max): 128 (38816)\n", + "Time (s): 0.12490\n", "\n", "Generation 3/10 [//////////////// ]\n", "Train Loss (Med): 0.54848 (0.69315)\n", "Val Loss (Med): 0.54848 (0.69315)\n", "Median Size (Max): 5 (12)\n", - "Median complexity (Max): 80 (3488)\n", - "Time (s): 1.65607\n", + "Median complexity (Max): 128 (3488)\n", + "Time (s): 0.18595\n", "\n", "Generation 4/10 [///////////////////// ]\n", "Train Loss (Med): 0.54848 (0.69315)\n", "Val Loss (Med): 0.54848 (0.69315)\n", "Median Size (Max): 5 (12)\n", "Median complexity (Max): 80 (3488)\n", - "Time (s): 2.06872\n", + "Time (s): 0.24847\n", "\n", "Generation 5/10 [////////////////////////// ]\n", "Train Loss (Med): 0.54848 (0.69315)\n", "Val Loss (Med): 0.54848 (0.69315)\n", "Median Size (Max): 5 (12)\n", - "Median complexity (Max): 80 (2720)\n", - "Time (s): 2.53507\n", + "Median complexity (Max): 80 (3488)\n", + "Time (s): 0.31177\n", "\n", "Generation 6/10 [/////////////////////////////// ]\n", "Train Loss (Med): 0.54848 (0.69315)\n", "Val Loss (Med): 0.54848 (0.69315)\n", "Median Size (Max): 5 (12)\n", - "Median complexity (Max): 80 (2720)\n", - "Time (s): 2.94055\n", + "Median complexity (Max): 80 (3488)\n", + "Time (s): 0.37179\n", "\n", "Generation 7/10 [//////////////////////////////////// ]\n", "Train Loss (Med): 0.54848 (0.69315)\n", "Val Loss (Med): 0.54848 (0.69315)\n", "Median Size (Max): 5 (12)\n", - "Median complexity (Max): 80 (2720)\n", - "Time (s): 3.28395\n", + "Median complexity (Max): 80 (3488)\n", + "Time (s): 0.43078\n", "\n", "Generation 8/10 [///////////////////////////////////////// ]\n", "Train Loss (Med): 0.54848 (0.69315)\n", "Val Loss (Med): 0.54848 (0.69315)\n", "Median Size (Max): 5 (12)\n", - "Median complexity (Max): 80 (2720)\n", - "Time (s): 3.66996\n", + "Median complexity (Max): 80 (3488)\n", + "Time (s): 0.49287\n", "\n", "Generation 9/10 [////////////////////////////////////////////// ]\n", "Train Loss (Med): 0.54848 (0.69315)\n", "Val Loss (Med): 0.54848 (0.69315)\n", "Median Size (Max): 5 (12)\n", - "Median complexity (Max): 80 (2720)\n", - "Time (s): 4.03734\n", + "Median complexity (Max): 80 (3488)\n", + "Time (s): 0.55462\n", "\n", "Generation 10/10 [//////////////////////////////////////////////////]\n", "Train Loss (Med): 0.54848 (0.69315)\n", "Val Loss (Med): 0.54848 (0.69315)\n", "Median Size (Max): 5 (12)\n", - "Median complexity (Max): 80 (2720)\n", - "Time (s): 4.36560\n", + "Median complexity (Max): 80 (3488)\n", + "Time (s): 0.61566\n", "\n", - "Saved population to file /tmp/tmp35coly_6/population.json\n", "saving final population as archive...\n", - "Best model: Logistic(Sum(-0.44628695,If(AIDS>15890.50,9.96,0.00 (MeanLabel))))\n", + "Saved population to file /tmp/tmp9ngz74qa/population.json\n", + "Best model: Logistic(Sum(-0.44628695,If(AIDS>15890.50,9.96,0.00)))\n", "score: 0.68\n" ] } @@ -389,10 +389,10 @@ "name": "stdout", "output_type": "stream", "text": [ - "Loaded population from /tmp/tmp35coly_6/population.json of size = 400\n", + "Loaded population from /tmp/tmp9ngz74qa/population.json of size = 400\n", "Completed 100% [====================]\n", - "Best model: Logistic(Sum(-0.6531352,-0.02*Add(-4.84,-0.04*AIDS)))\n", - "score: 0.58\n" + "Best model: Logistic(Sum(0.11283493,0.00*AIDS))\n", + "score: 0.5\n" ] } ], @@ -431,7 +431,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Fitness(0.533047 13088.000000 )\n" + "Fitness(0.617195 992.000000 )\n" ] } ], @@ -448,7 +448,7 @@ { "data": { "text/plain": [ - "0.7521187586361797" + "0.6972469637643848" ] }, "execution_count": 9, @@ -891,7 +891,7 @@ " functions=['SplitBest', 'Add', 'Mul', 'Sin', 'Cos', 'Exp',\n", " 'Logabs'],\n", " initialization='uniform',\n", - " load_population='/tmp/tmp35coly_6/population.json', logfile='',\n", + " load_population='/tmp/tmp9ngz74qa/population.json', logfile='',\n", " max_depth=3, max_gens=10, max_size=20, max_stall=0, max_time=-1,\n", " mig_prob=0.05, mode='classification',\n", " m...\n", @@ -901,13 +901,13 @@ " n_jobs=1, num_islands=5, objectives=['error', 'complexity'],\n", " pop_size=200, random_state=None, save_population='',\n", " scorer='average_precision_score', sel='lexicase',\n", - " shuffle_split=True, surv='nsga2', use_arch=True,\n", + " shuffle_split=False, surv='nsga2', use_arch=True,\n", " val_from_arch=True, validation_size=0.0, verbosity=1, ...)In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org." ], "text/plain": [ @@ -926,7 +926,7 @@ " functions=['SplitBest', 'Add', 'Mul', 'Sin', 'Cos', 'Exp',\n", " 'Logabs'],\n", " initialization='uniform',\n", - " load_population='/tmp/tmp35coly_6/population.json', logfile='',\n", + " load_population='/tmp/tmp9ngz74qa/population.json', logfile='',\n", " max_depth=3, max_gens=10, max_size=20, max_stall=0, max_time=-1,\n", " mig_prob=0.05, mode='classification',\n", " m...\n", @@ -936,7 +936,7 @@ " n_jobs=1, num_islands=5, objectives=['error', 'complexity'],\n", " pop_size=200, random_state=None, save_population='',\n", " scorer='average_precision_score', sel='lexicase',\n", - " shuffle_split=True, surv='nsga2', use_arch=True,\n", + " shuffle_split=False, surv='nsga2', use_arch=True,\n", " val_from_arch=True, validation_size=0.0, verbosity=1, ...)" ] }, @@ -982,15 +982,15 @@ "output_type": "stream", "text": [ "[ True True True True True True True True True True True True\n", - " True True True False True True False False False False False False\n", - " False False True True True True True True True True True False\n", - " True True True True False False False False False False False False\n", - " False False]\n", + " True True True True True True True True True True True True\n", + " True True True True True True True True True True True True\n", + " True True True True True True True True True True True True\n", + " True True]\n", "[ True True True True True True True True True True True True\n", - " True True True False True True False False False False False False\n", - " False False True True True True True True True True True False\n", - " True True True True False False False False False False False False\n", - " False False]\n" + " True True True True True True True True True True True True\n", + " True True True True True True True True True True True True\n", + " True True True True True True True True True True True True\n", + " True True]\n" ] } ], @@ -1008,13 +1008,13 @@ "name": "stdout", "output_type": "stream", "text": [ - "{'id': 541, 'y_pred': array([ True, True, True, True, True, True, True, True, True,\n", + "{'id': 447, 'y_pred': array([ True, True, True, True, True, True, True, True, True,\n", " True, True, True, True, True, True, True, True, True,\n", " True, True, True, True, True, True, True, True, True,\n", " True, True, True, True, True, True, True, True, True,\n", " True, True, True, True, True, True, True, True, True,\n", " True, True, True, True, True])}\n", - "{'id': 541, 'y_pred': array([ True, True, True, True, True, True, True, True, True,\n", + "{'id': 447, 'y_pred': array([ True, True, True, True, True, True, True, True, True,\n", " True, True, True, True, True, True, True, True, True,\n", " True, True, True, True, True, True, True, True, True,\n", " True, True, True, True, True, True, True, True, True,\n", @@ -1027,6 +1027,156 @@ "print(est.predict_archive(X)[0])\n", "print(loaded_est.predict_archive(X)[0])" ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Stop/resume the fitting of an estimator\n", + "\n", + "In the code below I try to mimic how pytorch models are trained: we can stop the training at any time, and we can resume it later. \n", + "\n", + "The idea is to demonstrate how to use population files to store checkpoints, and continuing from the last saved checkpoint." + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [], + "source": [ + "def train(est, X, y):\n", + " \n", + " checkpoint = os.path.join(tempfile.mkdtemp(), 'brush_pop_checkpoint.json')\n", + " \n", + " step = 5\n", + " max_gens = est.max_gens\n", + " est.max_gens = step\n", + " est.save_population = checkpoint\n", + " est.load_population = \"\"\n", + " \n", + " # You can set validation_size to a value greater than zero\n", + " # and shuffle_split to true to have random bathes of data\n", + " est.shuffle_split = True\n", + " est.validation_size = 0.2\n", + " \n", + " for g in range(max_gens // step):\n", + " print(f\"Progress {g + 1}/{max_gens // step}\")\n", + " \n", + " est.fit(X, y) # Notice that this will reset the MAB everytime!\n", + "\n", + " # Enable loading the checkpoint after a first run\n", + " est.load_population = checkpoint\n", + " \n", + " print(\"Best model:\", est.best_estimator_.get_model())\n", + " print('score :', est.score(X, y))\n", + "\n", + " # Restoring initial state\n", + " est.max_gens = max_gens" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Progress 1/10\n", + "Completed 100% [====================]\n", + "saving final population as archive...\n", + "Saved population to file /tmp/tmpaiwl_q3b/brush_pop_checkpoint.json\n", + "Best model: Logistic(Sum(-0.6284293,0.00*AIDS))\n", + "score : 0.6\n", + "Progress 2/10\n", + "Loaded population from /tmp/tmpaiwl_q3b/brush_pop_checkpoint.json of size = 200\n", + "Completed 100% [====================]\n", + "saving final population as archive...\n", + "Saved population to file /tmp/tmpaiwl_q3b/brush_pop_checkpoint.json\n", + "Best model: Logistic(Sum(-0.5824446,0.00*AIDS))\n", + "score : 0.68\n", + "Progress 3/10\n", + "Loaded population from /tmp/tmpaiwl_q3b/brush_pop_checkpoint.json of size = 200\n", + "Completed 100% [====================]\n", + "saving final population as archive...\n", + "Saved population to file /tmp/tmpaiwl_q3b/brush_pop_checkpoint.json\n", + "Best model: Logistic(Sum(0.003987044,Sin(1.32*Log1p(Sin(-0.69*Log1p(-0.09*Prod(AIDS,-0.09*AIDS)))))))\n", + "score : 0.8\n", + "Progress 4/10\n", + "Loaded population from /tmp/tmpaiwl_q3b/brush_pop_checkpoint.json of size = 200\n", + "Completed 100% [====================]\n", + "saving final population as archive...\n", + "Saved population to file /tmp/tmpaiwl_q3b/brush_pop_checkpoint.json\n", + "Best model: Logistic(Sum(-0.030985095,Sin(1.37*Log1p(Sin(-0.69*Log1p(-0.09*Prod(AIDS,-0.09*AIDS)))))))\n", + "score : 0.78\n", + "Progress 5/10\n", + "Loaded population from /tmp/tmpaiwl_q3b/brush_pop_checkpoint.json of size = 200\n", + "Completed 100% [====================]\n", + "saving final population as archive...\n", + "Saved population to file /tmp/tmpaiwl_q3b/brush_pop_checkpoint.json\n", + "Best model: Logistic(Sum(-0.031977303,Sin(1.37*Log1p(Sin(-0.69*Log1p(-0.09*Prod(AIDS,-0.09*AIDS)))))))\n", + "score : 0.78\n", + "Progress 6/10\n", + "Loaded population from /tmp/tmpaiwl_q3b/brush_pop_checkpoint.json of size = 200\n", + "Completed 100% [====================]\n", + "saving final population as archive...\n", + "Saved population to file /tmp/tmpaiwl_q3b/brush_pop_checkpoint.json\n", + "Best model: Logistic(Sum(-91.897354,1.00*Sqrt(AIDS)))\n", + "score : 0.68\n", + "Progress 7/10\n", + "Loaded population from /tmp/tmpaiwl_q3b/brush_pop_checkpoint.json of size = 200\n", + "Completed 100% [====================]\n", + "saving final population as archive...\n", + "Saved population to file /tmp/tmpaiwl_q3b/brush_pop_checkpoint.json\n", + "Best model: Logistic(Sum(-0.13507979,-2.02*Sin(1.00*Median(1.00*Sum(2.82*Sin(1.00*AIDS),1.00*AIDS,1.00*Min(AIDS,0.00,1.00*Cosh(AIDS),Total)),Total))))\n", + "score : 0.82\n", + "Progress 8/10\n", + "Loaded population from /tmp/tmpaiwl_q3b/brush_pop_checkpoint.json of size = 200\n", + "Completed 100% [====================]\n", + "saving final population as archive...\n", + "Saved population to file /tmp/tmpaiwl_q3b/brush_pop_checkpoint.json\n", + "Best model: Logistic(Sum(0.8941441,-4.35*Sin(Median(Sum(3.05*Sin(1.00*AIDS),1.00*AIDS,0.00),Total))))\n", + "score : 0.88\n", + "Progress 9/10\n", + "Loaded population from /tmp/tmpaiwl_q3b/brush_pop_checkpoint.json of size = 200\n", + "Completed 100% [====================]\n", + "saving final population as archive...\n", + "Saved population to file /tmp/tmpaiwl_q3b/brush_pop_checkpoint.json\n", + "Best model: Logistic(Sum(1.0173353,-4.50*Sin(Median(1.00*Sum(3.18*Sin(1.00*AIDS),AIDS,0.00),Total))))\n", + "score : 0.88\n", + "Progress 10/10\n", + "Loaded population from /tmp/tmpaiwl_q3b/brush_pop_checkpoint.json of size = 200\n", + "Completed 100% [====================]\n", + "saving final population as archive...\n", + "Saved population to file /tmp/tmpaiwl_q3b/brush_pop_checkpoint.json\n", + "Best model: Logistic(Sum(1.0173911,-4.50*Sin(Median(1.00*Sum(3.18*Sin(1.00*AIDS),AIDS,0.00),Total))))\n", + "score : 0.88\n" + ] + } + ], + "source": [ + "est = BrushClassifier(\n", + " objectives=[\"error\", \"linear_complexity\"],\n", + " scorer=\"balanced_accuracy\",\n", + " max_gens=50,\n", + " validation_size=0.2,\n", + " pop_size=100,\n", + " max_depth=20,\n", + " max_size=50,\n", + " verbosity=1\n", + ")\n", + "\n", + "train(est, X, y)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] } ], "metadata": {