Summary of 2_DecisionTree
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Decision Tree
- criterion: friedman_mse
- max_depth: 4
- explain_level: 2
Validation
- validation_type: split
- train_ratio: 0.75
- shuffle: True
Optimized metric
rmse
Training time
9.4 seconds
Metric details:
| Metric |
Score |
| MAE |
8.87026 |
| MSE |
152.041 |
| RMSE |
12.3305 |
| R2 |
0.366747 |
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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