Table 5. Summary of classification results obtained from training set using 10-fold CV.

Algorithm	TP rate	FP rate	Precision	F-measure	MCC	Accuracy
ANN	0.719	0.298	0.717	0.717	0.425	0.714
KNN	0.750	0.242	0.758	0.751	0.504	0.749

ANN, artificial neural network; KNN, k-nearest neighbor; FP, false-positive; TP, true-positive; MCC, Matthews correlation coefficient.