Table 4.

Accuracy, precision, recall, and F1 scores for the test set, ranked by the F1 score.

Rank	Model	Accuracy	Precision	Recall	F1
1	LASSOa	0.902	0.467	0.515	0.490
2	Random forest	0.923	0.628	0.397	0.486
3	Logistic regression	0.906	0.485	0.485	0.485
4	GBMb	0.901	0.466	0.500	0.482
5	Decision tree	0.895	0.429	0.441	0.435
6	Ridge	0.908	0.500	0.426	0.460

^aLASSO: least absolute shrinkage and selection operator.

^bGBM: gradient boosting machine.