Table 3. Average performance metrics of the four machine learning classifiers.

The best metrics in each column are shown in bold.

Model	Accuracy	Precision	Recall	F1-score	AUC
Logistic Regression	0.584	0.627	0.713	0.509	0.748
Naïve Bayes	0.552	0.523	0.628	0.425	0.629
SVM	0.647	0.691	0.874	0.651	0.815
Random Forest	0.866	0.896	0.851	0.821	0.922