Skip to content

Example for running an induvidual model for cross validaion values

Jayu8 edited this page Dec 21, 2017 · 1 revision

If you want to check the results for each model, them follow the steps below:

Let's say you want to run Random Forests model on the data, then:

cd Otto/model/model_02_random_forest/ 

In this folder, if you open random_forest.py code, you can see the following line

MODE = 'submission' 

You can change MODE to three values

  • cv - Cross-Validation is done on the model and the probabilities of each class is stored in an excel sheet and later used as weights for ensembling
  • submission - Model is run and probabilities of each class is stored in an excel sheet for ensembling.
  • holdout - Immediate Log loss value for the model is determined over here. You can run the code now: (Make sure you are using the correct python version)
python3 random_forest.py