Table 10.

Accuracy of the classification by different classifiers for feature set S1 and S2.

Classifier	Statistical parameters of all the classifiers for feature set S1
	Accuracy	Kappa	RMSE	Avg. TP	Avg. FP	Avg. Prec.	Avg. Recall	Avg. F-Score
Random Forest	96.91	0.952	0.974	0.969	0.016	0.969	0.969	0.969
MLP	97.94	0.968	0.81	0.979	0.013	0.979	0.979	0.979
Naïve Bayes	88.66	0.824	0.240	0.887	0.063	0.894	0.887	0.888
Simple Logistics	94.85	0.92	0.177	0.948	0.029	0.949	0.948	0.948

Classifier	Statistical parameters of all the classifiers for feature set S2
	Accuracy	kappa	RMSE	Avg. TP	Avg. FP	Avg. Prec.	Avg. Recall	Avg. F-Score
Random Forest	63.92	0.317	0.398	0.639	0.329	0.602	0.639	0.618
MLP	57.73	0.236	0.490	0.577	0.332	0.566	0.577	0.571
Naïve Bayes	52.58	0.162	0.169	0.526	0.352	0.554	0.526	0.533
Simple Logistics	55.67	0.218	0.544	0.557	0.324	0.569	0.557	0.563