Table 8.

The performance of HINLMI by using different classifiers.

Model	Accuracy	MCC	Precision	Recall	F1-score
NB	0.7459±0.0098	0.4920±0.0197	0.7464±0.0160	0.7457±0.0103	0.7459±0.0075
LR	0.7801±0.0044	0.5603±0.0086	0.7821±0.0111	0.7770±0.0128	0.7794±0.0039
SVM	0.8600±0.0084	0.7202±0.0168	0.8657±0.0133	0.8524±0.0125	0.8589±0.0082
GBDT	0.9187±0.0031	0.8376±0.0062	0.9240±0.0070	0.9126±0.0076	0.9182±0.0032
RF	0.9371±0.0044	0.8742±0.0087	0.9321±0.0083	0.9429±0.0047	0.9375±0.0041
XGBoost	0.9502±0.0042	0.9004±0.0084	0.9513±0.0079	0.9490±0.0082	0.9501±0.0043