Table 3. Data split and the performance metrics precision, recall, F-measure, accuracy, loss and area under the curve (AUC) for the neural networks and the decision tree.

Predictive model	Data sets	Data split	Precision	Recall	F-measure	Accuracy	Loss	AUC
LSTM neural networks	Training	66%	0.8315	0.9225	0.8746	0.8064	0.1421	0.8453
	Validation	33%	0.8390	0.9137	0.8748	0.8075	0.1491	0.8455
Decision tree	Cross-validation	Tenfold	0.761	0.760	0.760	0.7597	—	—