Summary of 6_Default_RandomForest

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Random Forest

• criterion: mse
• max_features: 0.9
• min_samples_split: 30
• max_depth: 4
• explain_level: 2

Validation

• validation_type: split
• train_ratio: 0.75
• shuffle: True

Optimized metric

rmse

Training time

2.4 seconds

Metric details:

Learning curves

Permutation-based Importance

SHAP Importance

SHAP Dependence plots

Dependence (Fold 1)

SHAP Decision plots

Top-10 Worst decisions (Fold 1)

Top-10 Best decisions (Fold 1)

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