SUMOhunt: Combining Spatial Staging between Lysine and SUMO with Random Forests to Predict SUMOylation

Table 3

Accuracy measures on 21-mer, 11-mer, and 7-mer peptides containing target lysine with different combinations of data divided into training and test sets.

% age split	+ve train	−ve train	AC%	SN%	SP%	MCC	AUC	+ve/−ve in test
21 window size
On train	293	291	100	100	100	1.0	1.0	293/291
66%	182	203	82.41	81	84	0.67	0.89	111/88
80%	233	234	88.03	95	80	0.76	0.92	60/57
90%	263	263	89.65	96	82	0.79	0.94	30/28
92%	268	269	93.61	96	90	0.87	0.98	25/22
94%	271	278	94.28	95	92	0.87	0.99	22/13
93%	269	274	87.80	85	93	0.75	0.97	24/17
11 window size
On train	293	291	99.82	99	100	0.99	1.0	293/291
66%	192	193	85.71	87	83	0.70	0.91	101/98
87%	259	249	86.84	97	78	0.75	0.89	34/42
90%	260	266	87.93	90	84	0.75	0.96	33/25
92%	266	271	89.36	88	90	0.78	0.96	27/20
93%	270	273	92.68	95	88	0.85	0.98	23/18
94%	271	278	94.28	95	92	0.87	0.99	22/13
7 window size
On train	293	291	100	100	100	1.0	1.0	293/291
66%	193	192	84.92	87	82	0.89	0.92	100/99
80%	231	236	86.32	91	80	0.72	0.92	62/55
90%	262	264	84.48	90	77	0.67	0.93	31/27
92%	269	268	91.48	96	87	0.83	0.97	24/23
93%	270	273	97.56	100	94	0.95	1.0	23/18
94%	271	278	97.1429	100	93	0.94	0.99	22/13