Table 3.

Predictive metrics of different feature extraction methods.

Features	Dimensional	ACC	Recall	MCC	Precision	F-measure
PseAAC	40	0.7061	0.6970	0.4113	0.6904	0.6937
Disorder	21	0.5709	0.5906	0.1434	0.5469	0.5679
CKSAAP	2000	0.6964	0.6849	0.3916	0.6810	0.6829
PSSM	440	0.6985	0.6576	0.3950	0.6947	0.6756
All	2501	0.7253	0.7053	0.4492	0.7153	0.7103
All (IFS)	2501	0.7360	0.7223	0.4708	0.7240	0.7232