Table 2.

Evaluation Measures for Implemented Models

Evaluation Measures	Approach/Model
	RNN-LSTM		RNN-biLSTM		CNN
	0	1	0	1	0	1
Precision	0.90	0.72	0.88	0.70	0.84	0.60
Recall	0.91	0.68	0.91	0.64	0.90	0.46
F1-Score	0.90	0.70	0.90	0.67	0.87	0.52
Accuracy	0.85		0.84		0.79
Macro average	0.80		0.78		0.69
Weighted Average	0.85		0.84		0.78
Approximate Loss	0.6		1.2		1.7