Table 3.

Evaluation Metrics Achieved from Stacked Ensemble Models

Prediction algorithms	AUC (for test set)	Threshold	Max Accuracy (test set)	Threshold	Max Precision (test set)	Threshold	Max Recall (test set)	AUC (validation set)
GBM & GLM	0.8142	0.4058	89.32%	0.4058	80%	0.00065	100%	0.8571
GBM & DRF	0.8752	0.3095	90.29%	0.6881	100%	0.000931	100%	0.8214
GLM & DRF	0.8338	0.0397	85.44%	0.000259	45.45%	0.000001	100%	0.7857
GBM & GLM & DRF	0.8732	0.4122	91.26%	0.752138	100%	0.000766	100%	0.8214