Table 16.

Deep learning models results with each feature selection technique.

Feature	Model	Accuracy	Precision	Recall	F1 Score
Original	LSTM	0.84	0.84	0.83	0.83
	CNN	0.93	0.94	0.92	0.93
	CNN-LSTM	0.90	0.90	0.88	0.88
FS	LSTM	0.62	0.63	0.59	0.59
	CNN	0.86	0.87	0.84	0.85
	CNN-LSTM	0.77	0.78	0.73	0.74
BE	LSTM	0.57	0.61	0.54	0.54
	CNN	0.86	0.87	0.84	0.84
	CNN-LSTM	0.86	0.87	0.84	0.85
BiDFE	LSTM	0.83	0.83	0.80	0.80
	CNN	0.85	0.84	0.81	0.82
	CNN-LSTM	0.87	0.88	0.84	0.86
ML FS	LSTM	0.57	0.63	0.54	0.55
	CNN	0.89	0.89	0.87	0.88
	CNN-LSTM	0.92	0.91	0.91	0.91