Table 10. The performance of variable discretization on other datasets.

Dataset	Model	AUC	Type I Error	Type II Error	Accuracy	F1 score	Probability cutoff
arrhythmia	Interval	0.6216	$46.87\mathrm{\%}$	$42.86\mathrm{\%}$	$53.33\mathrm{\%}$	0.1127	$3.64\mathrm{e}-11$
	Discretized	0.9603	$14.06\mathrm{\%}$	$14.28\mathrm{\%}$	$85.92\mathrm{\%}$	0.3871	$2.09\mathrm{e}-17$
wine_quality	Interval	0.7757	$30.74\mathrm{\%}$	$30.91\mathrm{\%}$	$69.25\mathrm{\%}$	0.1439	0.0317
	Discretized	0.8327	$26.08\mathrm{\%}$	$25.45\mathrm{\%}$	$73.95\mathrm{\%}$	0.1763	0.0289