Table 1.

Precision for selected models for each evaluated task, considering all stages of the training process and available on AMP-Detector.

Task	Algorithm	Encoder	Training Performance	Validation Performance	Testing Performance
Antiangiogenic	HistGradientBoosting	ProTrans t5 BDF	(0.75, 0.78)	(0.74, 0.76)	0.82
Antidiabetic	RandomForest	ProTrans t5 Uniref	(0.81, 0.83)	(0.81, 0.82)	0.81
Anti-Gram (−)	XGBClassifier	Esm1B	(0.89, 0.89)	(0.88, 0.89)	0.88
Anti-Gram (+)	ExtraTrees	Esm1B	(0.88, 0.88)	(0.88, 0.88)	0.88
Anti-inflammatory	Random Forest	ProTrans t5 xlu50	(0.87, 0.88)	(0.87, 0.87)	0.89
Antimalarial	ExtraTrees	ProTrans t5 BERT	(0.82, 0.85)	(0.83, 0.84)	0.78
Antimammalian cell	ExtraTrees	ProTrans t5 Uniref	(0.90, 0.90)	(0.90, 0.90)	0.90
Anti-methicillin-resistant S. aureus	ExtraTrees	Esm1B	(0.87, 0.88)	(0.87, 0.87)	0.90
Antioxidative	RandomForest	ProTrans t5 xlu50	(0.75, 0.77)	(0.75, 0.76)	0.82
Antibacterial	RandomForest	ProTrans t5 xlu50	(0.89, 0.90)	(0.89, 0.89)	0.92
Antifungal	RandomForest	ProTrans t5 xlu50	(0.83, 0.83)	(0.82, 0.82)	0.84
Antimicrobial	RandomForest	ProTrans t5 Uniref	(0.88, 0.88)	(0.87, 0.88)	0.88
Antiparasitic	RandomForest	Esm1b	(0.83, 0.84)	(0.83, 0.83)	0.85
Antiviral	RandomForest	ProTrans t5 Uniref	(0.81, 0.81)	(0.80, 0.81)	0.79
Anuran defense	Hist Gradient Boosting	ProTrans t5 xlu50	(0.90, 0.91)	(0.90, 0.90)	0.93
Blood–brain barrier penetrating	ExtraTrees	ProTrans t5 Uniref	(0.77, 0.80)	(0.78, 0.79)	0.85
Cell–cell communication	Hist Gradient Boosting	ProTrans t5 xlu50	(0.90, 0.91)	(0.90, 0.90)	0.91
Cell-penetrating	ExtraTrees	ProTrans t5 ALBERT	(0.87, 0.88)	(0.87, 0.87)	0.86
Neuropeptide	ExtraTrees	ProTrans t5 xlu50	(0.86, 0.86)	(0.86, 0.86)	0.87
Quorum sensing	ExtraTrees	ProTrans t5 ALBERT	(0.83, 0.86)	(0.87, 0.88)	0.87
Drug delivery vehicle	ExtraTrees	Esm1B	(0.85, 0.85)	(0.84, 0.85)	0.92