Table 1.

Performance of the optimal models based on various classification algorithms and lists yielded by various feature ranking algorithms.

Feature ranking algorithms	Classification algorithms	Number of features	F1-measure	MCC	ACC
mRMR	DT	309	0.766	0.623	0.822
	KNN	49	0.796	0.665	0.831
	SVM	314	0.852	0.761	0.886
	RF	215	0.840	0.742	0.878
MCFS	DT	64	0.765	0.620	0.820
	KNN	62	0.805	0.679	0.838
	SVM	143	0.846	0.750	0.880
	RF	145	0.854	0.764	0.888
LightGBM	DT	32	0.800	0.676	0.846
	KNN	18	0.833	0.728	0.867
	SVM	33	0.868	0.788	0.899
	RF	22	0.883	0.811	0.911
LASSO	DT	370	0.735	0.568	0.794
	KNN	160	0.718	0.525	0.753
	SVM	369	0.826	0.718	0.866
	RF	370	0.811	0.695	0.856