Table 1. SVM performance measures on different subsets of features in E. coli dataset, using RBF kernel.

Optimal parameters were used for respective subset of features.

Features of Protein Pair	Features Vector Length	Sensitivity (%)	Specificity (%)	Accuracy (%)	PPV (%)	MCC	F1 Score (%)	Area under ROC curve
Domain-Domain Association (DDA)	1	32	92	62	80	0.57	45.71	0.633
Degree	1	83	79	81	80	0.62	81.47	0.874
DDA and Degree	2	80	82	81	81	0.62	80.50	0.874
Amino acid composition (AAC)	40	78	76	77	77	0.55	77.50	0.824
DDA and AAC	41	70	87	78	84	0.57	76.36	0.844
Degree and AAC	41	77	85	81	84	0.63	80.35	0.878
DDA, Degree and AAC	42	77	86	82	85	0.64	80.80	0.878
Dipeptide Composition (DC)	800	79	76	77	77	0.55	77.99	0.826
Degree and DC	801	83	79	81	80	0.62	81.47	0.868
DDA, Degree and DC	802	76	86	81	85	0.63	80.25	0.868
DDA, AAC and DC	841	71	88	79	85	0.60	77.37	0.849
All Features (DDA, Degree, AAC and DC)	842	76	87	82	85	0.63	80.25	0.882