Summary of 2_DecisionTree
<< Go back
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
20.0 seconds
Metric details:
Metric |
Score |
MAE |
4.70759 |
MSE |
66.0963 |
RMSE |
8.12996 |
R2 |
0.958557 |
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)
<< Go back