Table 2.

Prediction results of machine learning models on PS-Benchmark_1 dataset.

Models	Accuracy (Ac)	Sensitivity (Sn)	Specificity (Sp)	Correlation-Coefficient (Cc)	Var.	Time
Ada-LEKM	0.823	0.801	0.845	0.646	0.022	35.745
Ada-SVM	0.791	0.776	0.806	0.583	0.031	51.593
SVM	0.798	0.787	0.809	0.596	0.030	32.886
LEKM	0.783	0.773	0.792	0.565	0.020	22.421
kNN	0.767	0.753	0.781	0.534	0.032	35.630
GRNN	0.759	0.724	0.793	0.518	0.041	85.422
MLP	0.752	0.715	0.789	0.505	0.046	180.344
RBFN	0.737	0.685	0.788	0.475	0.044	68.654
DT (J48)	0.732	0.718	0.747	0.465	0.025	8.393
KLR	0.726	0.682	0.772	0.456	0.038	156.690