Summary of 2_DecisionTree
July 10, 2020 ยท View on GitHub
Decision Tree
- criterion: gini
- max_depth: 3
- explain_level: 2
Validation
- validation_type: split
- train_ratio: 0.75
- shuffle: True
- stratify: True
Optimized metric
logloss
Training time
10.3 seconds
Metric details
| score | threshold | |
|---|---|---|
| logloss | 0.365591 | nan |
| auc | 0.848303 | nan |
| f1 | 0.62168 | 0.297476 |
| accuracy | 0.844748 | 0.633529 |
| precision | 0.987421 | 0.831768 |
| recall | 1 | 0.0427254 |
| mcc | 0.533833 | 0.633529 |
Confusion matrix (at threshold=0.297476)
| Predicted as negative | Predicted as positive | |
|---|---|---|
| Labeled as negative | 4592 | 352 |
| Labeled as positive | 702 | 866 |
Learning curves
Tree visualizations
Tree #1
Permutation-based Importance
SHAP Importance
SHAP Dependence plots
Dependence (Fold #1)
SHAP Decision plots
Top-10 Worst decisions for class 0 (Fold #1)
Top-10 Best decisions for class 0 (Fold #1)
Top-10 Worst decisions for class 1 (Fold #1)
Top-10 Best decisions for class 1 (Fold #1)
