Table 2. Performance metrics among supervised machine learning algorithms with ANOVA and chi-squared feature selection (5,000 features).

Model\Metric		Accuracy	Precision	Recall	F1 score	AUC
ANOVA	XGBoost	78.95%	72.50%	46.67%	52.63%	0.79
	RF	88.16%	100%	55.83%	68.56%	1.0
Chi-squared	XGBoost	82.89%	81.67%	52.5%	64.64%	0.81
	RF	88.16%	95%	60.83%	71.30%	0.95