README.md

Summary of Ensemble

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Ensemble structure

Model	Weight
2_Default_Xgboost	1
3_Default_CatBoost	2

Metric details

	score	threshold
logloss	0.600326	nan
auc	0.735567	nan
f1	0.702484	0.369963
accuracy	0.67658	0.535812
precision	0.84	0.806693
recall	1	0.0170057
mcc	0.35379	0.535812

Confusion matrix (at threshold=0.535812)

	Predicted as 0	Predicted as 1
Labeled as 0	603	218
Labeled as 1	304	489

Learning curves

Confusion Matrix

Normalized Confusion Matrix

ROC Curve

Kolmogorov-Smirnov Statistic

Precision-Recall Curve

Calibration Curve

Cumulative Gains Curve

Lift Curve

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