Table 4.

Prediction performance in benchmark datasets.

	Method	Acc	F-measure	Pre	Spe	Sen	MCC
Dset_186	SSWRF	0.679	0.386	0.322	0.697	0.581	0.234
	LORIS	0.604	0.384	0.287	0.586	0.698	0.221
	PSIVER	0.673	0.353	0.306	0.743	0.416	0.151
	SCRIBER	0.78	0.279	0.279	0.87	0.279	0.15
	DELPHI	0.803	0.353	0.353	0.884	0.352	0.235
	IHT_XGB	0.716	0.694	0.753	0.788	0.644	0.437
Dset_72	SSWRF	0.648	0.351	0.267	0.643	0.654	0.224
	LORIS	0.614	0.324	0.238	0.610	0.631	0.177
	PSIVER	0.661	0.278	0.25	0.693	0.465	0.135
	SCRIBER	0.837	0.232	0.232	0.909	0.232	0.141
	DELPHI	0.847	0.275	0.276	0.915	0.274	0.189
	IHT_XGB	0.702	0.689	0.721	0.741	0.663	0.405
Dset_164	SSWRF	0.621	0.365	0.323	0.656	0.527	0.152
	LORIS	0.588	0.323	0.263	0.609	0.538	0.111
	PSIVER	0.596	0.295	0.253	0.634	0.464	0.078
	SCRIBER	0.756	0.327	0.327	0.851	0.327	0.179
	DELPHI	0.758	0.332	0.332	0.852	0.332	0.184
	IHT_XGB	0.733	0.715	0.767	0.795	0.671	0.470