Table 10.

Parameter metric comparison of KNN and LVQ.

Classification techniques	Performance metric parameters
	Precision	Accuracy	Sensitivity	Specificity	Recall	F-measure
K-Nearest Neighbour	79.07	79.78	78.91	78.1	76.31	78.89
Proposed learning vector quantization	98.07	98.78	97.91	97.1	95.31	97.89

Significant values are in bold.