TABLE 2.

MCC, Accuracy (ACC), AUC, Precision, Sensitivity (SE) and Specificity (SP) values of the generated classification models.

Evaluation metric	LB model	Best poses				Average scores
		PLANTS	LiGen	GOLD	Consensus	PLANTS	LiGen	GOLD	Consensus
MCC	0.57	0.38	0.37	0.37	0.42	0.43	0.43	0.43	0.47
ACC	0.79	0.70	0.70	0.70	0.72	0.72	0.72	0.72	0.73
AUC	0.87	0.77	0.76	0.76	0.79	0.80	0.80	0.79	0.82
Precision	0.79	0.70	0.70	0.70	0.72	0.72	0.72	0.72	0.74
SE	0.84	0.82	0.83	0.82	0.85	0.82	0.83	0.83	0.85
SP	0.72	0.54	0.51	0.53	0.54	0.59	0.58	0.58	0.60