Table 2.

Training and validation results for each value of K in the cross-validation.

K	Train Acc	Train Prec	Train Rec	Train Spec	Train F1	Val Acc	Val Prec	Val Rec	Val Spec	Val F1	Val AUC
1	0.9641	0.9601	0.9699	0.9568	0.9642	0.9854	0.9854	0.9717	1.0000	0.9709	0.9857
2	0.9950	0.9949	0.9951	0.9949	0.9949	0.9994	0.9994	0.9993	0.9996	0.9993	0.9994
3	0.9985	0.9988	0.9980	0.9989	0.9984	0.9994	0.9994	0.9993	0.9996	0.9993	0.9994
4	0.9998	0.9995	1.0000	0.9996	0.9998	0.9999	0.9999	0.9998	1.0000	0.9998	0.9999
5	0.9988	0.9985	0.9991	0.9984	0.9988	0.9996	0.9996	0.9991	1.0000	0.9991	0.9996
Mean	0.9912	0.9904	0.9924	0.9897	0.9912	0.9968	0.9968	0.9939	0.9998	0.9937	0.9968

Acc = Accuracy, Prec = Precision, Rec = Recall, Spec = Specificity, and F1 = F1 Score.