Table 5.

Resulting performance measures of all six classifiers for all three PTM-specific datasets, using the optimized lists of indices and features as an input

Classifier	Dataset	Relief-F				Information gain
		ACC	AUC	MCC	CPS	ACC	AUC	MCC	CPS
SVM	Acetylation	0.88	0.92	0.78	2.58	0.88	0.90	0.78	2.56
	Phosphorylation	0.91	0.93	0.83	2.67	0.91	0.93	0.84	2.68
	Ubiquitylation	0.88	0.91	0.77	2.56	0.88	0.91	0.77	2.56
		summation			7.81	summation			7.80
k-NN	Acetylation	0.87	0.91	0.74	2.52	0.87	0.91	0.75	2.53
	Phosphorylation	0.89	0.93	0.80	2.62	0.92	0.93	0.84	2.69
	Ubiquitylation	0.80	0.86	0.61	2.27	0.81	0.89	0.65	2.35
		summation			7.41	summation			7.57
RF	Acetylation	1.00	1.00	1.00	3.00	1.00	1.00	1.00	3.00
	Phosphorylation	0.91	0.93	0.82	2.66	0.90	0.93	0.80	2.63
	Ubiquitylation	1.00	1.00	1.00	3.00	1.00	1.00	1.00	3.00
		summation			8.66	summation			8.63
C4.5	Acetylation	0.85	0.87	0.70	2.42	0.88	0.89	0.76	2.53
	Phosphorylation	0.89	0.90	0.78	2.57	0.92	0.93	0.85	2.70
	Ubiquitylation	0.80	0.82	0.61	2.23	0.81	0.82	0.62	2.25
		summation			7.22	summation			7.48
KStar	Acetylation	0.83	0.88	0.65	2.36	0.83	0.89	0.66	2.38
	Phosphorylation	0.87	0.92	0.74	2.53	0.89	0.93	0.79	2.61
	Ubiquitylation	0.71	0.76	0.43	1.90	0.79	0.82	0.57	2.18
		summation			6.79	summation			7.17
MLP	Acetylation	0.85	0.91	0.70	2.46	0.84	0.90	0.67	2.41
	Phosphorylation	0.88	0.92	0.76	2.56	0.91	0.93	0.83	2.67
	Ubiquitylation	0.84	0.90	0.68	2.42	0.83	0.89	0.66	2.38
		summation			7.44	summation			7.46