Table 4.

The Performance of SVM models using amino acid and PSSM profiles on a realistic dataset (DNArset).

Threshold	Amino acid composition based model				PSSM based model
	Sn*	Sp	Acc	MCC	Sn	Sp	Acc	MCC
-1.00	80.21	63.67	65.13	0.26	91.75	77.47	78.73	0.44
-0.90	77.47	67.00	67.92	0.26	89.70	78.60	79.58	0.44
-0.80	76.78	70.67	71.20	0.29	87.66	80.20	80.86	0.45
-0.70	74.74	74.40	74.43	0.31	85.61	81.60	81.95	0.45
-0.60	74.05	77.07	76.79	0.33	84.23	83.20	83.29	0.46
-0.50	71.98	79.27	78.62	0.34	78.73	84.20	83.72	0.44
-0.40	69.91	81.13	80.13	0.34	78.05	85.67	84.99	0.46
-0.30	69.22	83.60	82.32	0.37	74.60	87.27	86.15	0.46
-0.20	65.79	85.73	83.96	0.38	73.22	89.07	87.66	0.48
-0.10	60.99	87.40	85.06	0.37	71.15	91.00	89.24	0.51
0.00	58.23	89.13	86.39	0.38	70.46	92.27	90.34	0.53
0.10	53.40	90.40	87.12	0.37	68.41	93.60	91.37	0.55
0.20	50.02	92.20	88.46	0.38	65.68	94.60	92.04	0.56
0.30	47.95	93.33	89.31	0.40	63.61	95.40	92.59	0.57
0.40	44.53	93.93	89.55	0.38	60.16	95.87	92.71	0.56
0.50	41.79	94.60	89.91	0.38	53.31	96.60	92.77	0.53
0.60	37.70	95.13	90.04	0.35	51.29	97.07	93.01	0.54
0.70	32.90	95.73	90.16	0.33	47.86	97.53	93.13	0.52
0.80	30.83	96.40	90.58	0.33	42.39	97.87	92.95	0.49
0.90	30.16	97.00	91.07	0.35	38.30	98.40	93.07	0.48
1.00	28.78	97.33	91.25	0.35	34.87	98.67	93.01	0.47

* Sn: Sensitivity; Sp: Specificity; Acc: Accuracy