Table 1. Performance indicator of ML models on the yeast dataset.

ML models	Precision	Recall	F-Score	AUC
XGBBoost (Chen & Guestrin, 2016)	0.653	0.740	0.694	0.735
AdaBoost (Freund & Schapire, 1996)	0.629	0.660	0.644	0.674
Logistic Regression (Bacaër, 2011)	0.656	0.712	0.683	0.698
SVM (Cortes & Vapnik, 1995)	0.646	0.740	0.690	0.702
Decision Tree (Mitchell, 1997)	0.593	0.615	0.588	0.595
EPI-SF using Random Forest	0.703	0.720	0.711	0.745
Naïve Bayes (Hand & Yu, 2001)	0.602	0.832	0.699	0.692