Table 7.

Summary of classifiers’ performance.

No.	Classifier	Accuracy	Precision	Recall	F-Measure	Model Build Time (s)
1	J48	99.48%	0.995	0.995	0.995	1.98
2	SVM	79.08%	0.880	0.736	0.760	320.34
3	MLP	95.5%	0.926	0.926	0.926	265.46
4	Naive Bayes	49.09%	0.585	0.491	0.427	0.24
5	BayesNet	94.06%	0.945	0.941	0.941	0.93
6	kNN (k = 1)	98.53%	0.995	0.995	0.995	0.04
7	kNN (k = 5)	98.52%	0.995	0.995	0.995	0.08