README.md

Summary of 2_DecisionTree

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

15.2 seconds

Metric details

	score	threshold
logloss	0.269144	nan
auc	0.771486	nan
f1	0.538244	0.0513151
accuracy	0.902791	0.474755
precision	0.670695	0.546178
recall	1	0.0461836
mcc	0.475285	0.0513151

Confusion matrix (at threshold=0.474755)

	Predicted as negative	Predicted as positive
Labeled as negative	6620	618
Labeled as positive	360	570

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)