Identification of Protein Pupylation Sites Using Bi-Profile Bayes Feature Extraction and Ensemble Learning

Table 2

Results of the SVM prediction on Dataset 1.

SVM classifier	Sensitivity (%)	Specificity (%)	Accuracy (%)	MCC	𝐴ROC
BPB-SVM15	78.79	67.50	72.60	0.462	0.791
BPB-SVM17	75.76	72.50	73.97	0.480	0.807
BPB-SVM19	69.23	67.65	68.49	0.368	0.738
BPB-SVM21	65.79	80.00	72.60	0.463	0.741
BPB-SVM23	63.16	80.00	71.23	0.436	0.788
Binary-SVM17	55.50	51.52	53.42	0.065	0.527