Table 1.

Comparison of results obtained from different ML methods.

Classifiers	Accuracy	TPR	TNR	PPV	NPV
Decision Tree [16,17]	0.4536	0.0520	0.6186	0.0805	0.9836
1NN+Euclidean Distance [18,19]	0.4677	0.9988	0.6667	0.0300	0.9995
1NN+Spearman Distance [21,22]	0.4856	0.9978	0.6632	0.0297	0.9945
3NN + Euclidean Distance [20]	0.4878	0.1106	0.6873	0.1714	0.9852
SVM + Least Squared Kernel [23,24]	0.6070	0.2377	0.6804	0.0641	0.9851
SVM + Guassian Kernel [25]	0.6429	0.1901	0.0481	0.0866	0.8235
1NN + Jacard Distance	0.7884	0.9667	0.9735	0.9206	0.9949