Table 1 Performance results of HEA classifier based on 12 distinct ML models.

Model	Accuracy		Precision		Recall		F1_score		AUC_ROC
Model	Train	Test	Train	Test	Train	Test	Train	Test	Train	Test
LR	0.71	0.69	0.73	0.66	0.56	0.54	0.63	0.59	0.70	0.67
SVC	0.87	0.78	0.87	0.76	0.83	0.70	0.85	0.73	0.87	0.77
NuSVC	0.86	0.78	0.87	0.76	0.82	0.69	0.84	0.72	0.86	0.76
SGD	0.70	0.66	0.66	0.58	0.69	0.65	0.67	0.61	0.70	0.66
KNC	0.80	0.76	0.81	0.74	0.73	0.67	0.77	0.70	0.79	0.75
GBC	0.99	0.77	0.99	0.73	0.98	0.71	0.99	0.72	0.99	0.76
AC	0.76	0.72	0.75	0.67	0.68	0.65	0.71	0.66	0.75	0.71
RFC	0.93	0.76	0.96	0.75	0.89	0.65	0.92	0.70	0.93	0.75
XGB	0.99	0.77	0.99	0.75	0.99	0.70	0.99	0.72	0.99	0.76
DTC	0.69	0.65	0.62	0.56	0.80	0.78	0.70	0.65	0.70	0.67
ETC	0.87	0.74	0.96	0.74	0.74	0.57	0.84	0.65	0.86	0.72
GNB	0.48	0.46	0.46	0.43	1.00	0.99	0.63	0.60	0.53	0.53

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