Table 2. Performance of the proposed DHSpred along with the state-of-the-art methods.

Method	MCC	Accuracy	Sensitivity	Specificity	Pt	Py
DHSpred	0.660	0.871	0.655	0.952	0.624	0.607
iDHS-EL	0.636	0.861	0.646	0.943	0.609	0.589
RevcKmer	0.616	0.852	0.654	0.928	0.607	0.582
PseTNC	0.610	0.861	0.607	0.946	0.574	0.553
PseDNC	0.571	0.837	0.611	0.923	0.563	0.533

The first column represents the method name employed in this study. The second, the third, the fourth and the fifth, the sixth and the seventh respectively represent the MCC, accuracy, sensitivity, specificity, Pt and Py. Bold font denotes the best result.