βLact-Pred: A Predictor Developed for Identification of Beta-Lactamases Using Statistical Moments and PseAAC via 5-Step Rule

Table 3

Performance analysis of 10-fold cross-validation results (20 iterations) for βLact-Pred.

10-fold (iterations)	Precision metrics
	Acc (%)	Sp (%)	Sn (%)	MCC	AUC
1	93.92	97.23	99.74	0.97	0.99
2	96.11	97.97	99.90	0.98	1.00
3	93.87	97.00	99.12	0.98	0.99
4	94.68	97.26	99.32	0.98	0.99
5	95.03	97.58	97.22	0.98	0.99
6	96.26	98.72	97.59	0.98	1.00
7	93.38	99.00	98.32	0.98	0.98
8	94.04	97.00	97.23	0.97	0.99
9	96.24	98.30	97.57	0.99	1.00
10	93.34	96.00	96.97	0.99	0.98
11	94.94	97.32	96.63	0.97	0.99
12	93.41	99.80	99.01	0.98	0.99
13	93.72	99.00	99.91	0.98	0.99
14	93.90	95.11	99.89	0.98	0.99
15	94.09	96.44	99.23	0.98	0.99
16	96.12	98.00	99.12	0.98	1.00
17	94.25	96.79	98.90	0.98	0.99
18	95.15	97.70	97.26	0.98	0.99
19	94.17	96.57	99.32	0.98	0.99
20	95.60	97.82	97.34	0.97	1.00
Average	94.61	97.80	99.89	0.98	1.00