Table 1.

Overview of the performance parameters of the six machine learning models.

Model	Accuracy		Precision		Sensitivity		F1-Score		MCC 1		AUC
	Training	Test	Training	Test	Training	Test	Training	Test	Training	Test	Test
AChE-CART	0.85	0.83	0.66	0.64	0.80	0.77	0.72	0.70	0.62	0.59	0.83 ± 0.024
AChE-CHAID	0.86	0.85	0.71	0.68	0.78	0.76	0.74	0.72	0.65	0.61	0.85 ± 0.024
AChE-RF	0.87	0.86	0.71	0.69	0.84	0.81	0.77	0.75	0.68	0.66	0.89 ± 0.013
BACE1-CART	0.83	0.82	0.74	0.72	0.89	0.87	0.81	0.79	0.67	0.64	0.83 ± 0.024
BACE1-CHAID	0.82	0.80	0.74	0.76	0.77	0.73	0.77	0.75	0.62	0.59	0.83 ± 0.020
BACE1-RF	0.85	0.83	0.79	0.75	0.83	0.85	0.81	0.80	0.68	0.66	0.88 ± 0.016

¹ Matthews correlation coefficient.