Table 5.

Predictive metrics of respective feature subsets classified by each classifier.

Classifier	Optimal subsets	ACC	Recall	MCC	Precision	F-measure
LightGBM	351	0.7360	0.7223	0.4708	0.7240	0.7232
RF	37	0.7182	0.6795	0.4345	0.7158	0.6972
ET	33	0.6010	0.5934	0.2013	0.5804	0.5868
GBDT	94	0.7267	0.7223	0.4528	0.7102	0.7162
kNN	32	0.6596	0.7209	0.3258	0.6242	0.6691
XGBoost	427	0.7271	0.7114	0.4529	0.7154	0.7134
NB	805	0.6878	0.7724	0.3867	0.6444	0.7026