Table 2.

Performance comparison of different features on the benchmark dataset (HB34).

Methods	Features	SPE	SEN	PRE	ACC	F1	MCC	AUC
SVM	Physicochemical	0.672	0.521	0.545	0.608	0.520	0.196	0.566
	PSSM	0.696	0.504	0.553	0.614	0.515	0.204	0.634
	Blocks substitution matrix	0.644	0.522	0.529	0.594	0.511	0.170	0.595
	ASA	0.677	0.688	0.612	0.660	0.638	0.362	0.737
	Solvent exposure	0.609	0.726	0.580	0.658	0.635	0.339	0.724
	Combined	0.711	0.638	0.684	0.699	0.652	0.393	0.757
RF	Physicochemical	0.624	0.549	0.521	0.592	0.522	0.174	0.635
	PSSM	0.682	0.561	0.567	0.632	0.555	0.244	0.648
	Blocks substitution matrix	0.620	0.550	0.521	0.590	0.523	0.17	0.632
	ASA	0.722	0.587	0.614	0.664	0.589	0.312	0.696
	Solvent exposure	0.682	0.552	0.565	0.626	0.549	0.236	0.669
	Combined	0.756	0.656	0.624	0.699	0.631	0.384	0.766
GTB	Physicochemical	0.587	0.586	0.514	0.586	0.535	0.173	0.635
	PSSM	0.612	0.641	0.550	0.624	0.584	0.251	0.669
	Blocks substitution matrix	0.591	0.588	0.517	0.591	0.540	0.179	0.635
	ASA	0.665	0.648	0.588	0.658	0.608	0.310	0.693
	Solvent exposure	0.624	0.639	0.558	0.631	0.587	0.261	0.669
	Combined	0.717	0.656	0.727	0.719	0.681	0.439	0.787