Parasites & Vectors

Table 2 Comparison of traditional algorithms

From: Development and validation of a machine learning algorithm prediction for dense granule proteins in Apicomplexa

Method	AUPRC	Precision	Accuracy	AUC	F1	Recall	Specificity
MVA-GCN	0.9088^a	1.0000^a	0.9658^a	0.9673^a	0.8181^a	0.6923^a	1.0000^a
SVM	0.7815^b	0.8078^b	0.9369^b	0.6943	0.7531^b	0.6117^b	0.9800
RF	0.3639	0.5148	0.8831	0.8069^b	0.1306	0.0771	0.9912^b
DT	0.5360	0.5823	0.9343	0.7015	0.4996	0.4409	0.9553

^aHighest value of each indicator
^bSecond-best value of each indicator

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ISSN: 1756-3305

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