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

Table 4

Results for independent dataset testing of three different methods.

Splits	Precision metrics
	Acc (%)	Sp (%)	Sn (%)	MCC	AUC
90/10	95.27	94.50	96.90	0.8990	0.92
80/20	91.57	92.60	93.40	0.8310	0.89
70/30	88.10	91.34	92.10	0.8120	0.86
Average	91.65	92.81	94.13	0.8473	0.89