Table 1.

Performance of prediction based on the screened optimal features.

Dataset	Residual features number	Optimal feature number	Sensitivity	Specificity	Accuracy	MCC
1	3924	1121	0.94	0.9	0.92	0.84
2	3299	455	0.97	0.82	0.91	0.81
3	3427	1679	0.94	0.93	0.93	0.86
4	3644	1196	0.90	1.00	0.94	0.88
5	3768	219	0.97	0.71	0.87	0.73
6	3948	602	0.90	0.90	0.90	0.8
7	4009	386	0.87	0.9	0.88	0.77
8	4506	1313	0.94	0.94	0.94	0.86
9	4210	376	0.97	0.71	0.87	0.73
10	4828	670	1.oo	0.71	0.95	0.82

MCC: Matthews’s correlation coefficient.