Table 9 Comparison of GraphIdn model with previous models on the fivefold cross- validation
From: Identification of plant vacuole proteins by using graph neural network and contact maps
Model | Acc (%) | Sn (%) | Sp (%) | MCC | ROC-AUC |
|---|---|---|---|---|---|
VacPred-DPC | 75.50 | 70.00 | 81.00 | 0.510 | 0.800 |
VacPred-PSSM | 81.75 | 76.50 | 87.00 | 0.640 | 0.860 |
iPVP-DRLF | 88.25 | 89.00 | 87.50 | 0.765 | 0.933 |
GraphIdn | 89.93 | 90.47 | 89.70 | 0.802 | 0.940 |