Using Harmony Search Algorithm in Neural Networks to Improve Fraud Detection in Banking System

Table 1

The SM calculation process.

TN	FN	Negative predictive value = TN/TN + FN
		False omission rate = FN/TN + FN
FP	TP	Precision = TP/TP + FP
		False discovery rate = FP/TP + FP
True negative rate = TN/TN + FP	True positive rate = TP/TP + FN	Accuracy = (TP + TN)/total
False positive rate = FP/TN + FP	False negative rate = FN/TP + FN	Misclassification rate = (FP + FN)/TN + FN + T\ + FP