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Adding support for openml datasets #429

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Adding support for openml datasets #429

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4c3325f
feat: :sparkles: Add OpenMLDataset class for loading datasets from Op…
qychen2001 Aug 8, 2024
6e4be06
style: :art: refine class docstring and initialize cache_dir
qychen2001 Aug 8, 2024
ad50d9e
feat: :package: add OpenMLDataset to real-world datasets list
qychen2001 Aug 8, 2024
74a86c5
test: :white_check_mark: add unit tests for OpenMLDataset class
qychen2001 Aug 8, 2024
2c6feff
build: :heavy_plus_sign: add openml to pyproject.toml dependencies
qychen2001 Aug 8, 2024
8e9172d
ci: :bug: fix typing errors in git actions
qychen2001 Aug 8, 2024
7527d19
Merge branch 'pyg-team:master' into master
qychen2001 Aug 9, 2024
54d512c
fix: :bug: ensure openml is installed for OpenMLDataset
qychen2001 Aug 9, 2024
6610b16
style: :art: fix pre-commit errors
qychen2001 Aug 9, 2024
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4 changes: 2 additions & 2 deletions README.md
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Expand Up @@ -231,9 +231,9 @@ The following chart shows the performance of various models on small regression

| Model Name | dataset_0 | dataset_1 | dataset_2 | dataset_3 | dataset_4 | dataset_5 | dataset_6 | dataset_7 | dataset_8 | dataset_9 | dataset_10 | dataset_11 | dataset_12 |
|:--------------------|:----------------|:----------------|:----------------|:----------------|:----------------|:----------------|:----------------|:----------------|:----------------|:----------------|:----------------|:----------------|:----------------|
| XGBoost | **0.250±0.000** | 0.038±0.000 | 0.187±0.000 | 0.475±0.000 | 0.328±0.000 | 0.401±0.000 | **0.249±0.000** | 0.363±0.000 | 0.904±0.000 | 0.056±0.000 | 0.820±0.000 | **0.857±0.000** | 0.418±0.000 |
| XGBoost | **0.247±0.000** | 0.077±0.000 | 0.167±0.000 | 1.119±0.000 | 0.328±0.000 | 1.024±0.000 | **0.292±0.000** | 0.606±0.000 | **0.876±0.000** | 0.023±0.000 | **0.697±0.000** | 0.865±0.000 | 0.435±0.000 |
| CatBoost | 0.265±0.000 | 0.062±0.000 | 0.128±0.000 | 0.336±0.000 | 0.346±0.000 | 0.443±0.000 | 0.375±0.000 | 0.273±0.000 | 0.881±0.000 | 0.040±0.000 | 0.756±0.000 | 0.876±0.000 | 0.439±0.000 |
| LightGBM | 0.253±0.000 | 0.054±0.000 | **0.112±0.000** | 0.302±0.000 | 0.325±0.000 | **0.384±0.000** | 0.295±0.000 | **0.272±0.000** | **0.877±0.000** | 0.011±0.000 | **0.702±0.000** | 0.863±0.000 | **0.395±0.000** |
| LightGBM | 0.253±0.000 | 0.054±0.000 | **0.112±0.000** | 0.302±0.000 | 0.325±0.000 | **0.384±0.000** | 0.295±0.000 | **0.272±0.000** | 0.877±0.000 | 0.011±0.000 | 0.702±0.000 | **0.863±0.000** | **0.395±0.000** |
| Trompt | 0.261±0.003 | **0.015±0.005** | 0.118±0.001 | **0.262±0.001** | **0.323±0.001** | 0.418±0.003 | 0.329±0.009 | 0.312±0.002 | OOM | **0.008±0.001** | 0.779±0.006 | 0.874±0.004 | 0.424±0.005 |
| ResNet | 0.288±0.006 | 0.018±0.003 | 0.124±0.001 | 0.268±0.001 | 0.335±0.001 | 0.434±0.004 | 0.325±0.012 | 0.324±0.004 | 0.895±0.005 | 0.036±0.002 | 0.794±0.006 | 0.875±0.004 | 0.468±0.004 |
| FTTransformerBucket | 0.325±0.008 | 0.096±0.005 | 0.360±0.354 | 0.284±0.005 | 0.342±0.004 | 0.441±0.003 | 0.345±0.007 | 0.339±0.003 | OOM | 0.105±0.011 | 0.807±0.010 | 0.885±0.008 | 0.468±0.006 |
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