Table 2.

The Performances of Models (the Performances of Models Were Obtained From 5-Fold Cross Validation

Different algorithms	Precision	Recall	F1-score	Accuracy
ECNN	0.981 ± 0.007	0.980 ± 0.008	0.981 ± 0.008	0.981 ± 0.008
KNN	0.624 ± 0.064	0.620 ± 0.057	0.618 ± 0.065	0.620 ± 0.057
DT	0.658 ± 0.051	0.636 ± 0.045	0.638 ± 0.049	0.636 ± 0.046
GNB	0.438 ± 0.168	0.546 ± 0.042	0.414 ± 0.030	0.546 ± 0.042
RF	0.718 ± 0.104	0.674 ± 0.086	0.664 ± 0.095	0.674 ± 0.086

ECNN Ensemble Convolutional Neural Network, KNN K-Nearest Neighbor, DT Decision Tree, RF Random Forest, GNB Gaussian Naive Bayes, AUC Area under the curve