Table 3.

Feature extraction using proposed model with traditional machine learning classifiers

Proposed + classifier	Accuracy	Precision	Recall	F1 score
Random forest	0.9617	0.9581	0.9556	0.9567
Logistic regression	0.9498	0.9457	0.9408	0.94288
Gradient boosting	0.9366	0.9302	0.9305	0.9304
Bagging trees	0.9419	0.9377	0.9347	0.9360
Multilayer perceptron	0.9511	0.9450	0.9440	0.9445