Table 1.

The prediction performance of ELPMA model using different individual learners.

Model	Precision	Sensitivity	F1-score	Acc	AUC	AUPR	MCC
ELPMA-AB	0.7118	0.7153	0.7128	0.7124	0.7822	0.8000	0.4257
ELPMA-RF	0.9362	0.8592	0.8959	0.9003	0.9568	0.9664	0.8035
ELPMA-ERT	0.9650	0.8962	0.9292	0.9318	0.9793	0.9832	0.8660
ELPMA-XGB	0.9716	0.9369	0.9540	0.9548	0.9897	0.9914	0.9102

Significant values are in bold.