Table 11 Performance comparison between GraphIdn model and In-Pero model
From: Identification of plant vacuole proteins by using graph neural network and contact maps
Model | Acc (%) | F1-score | MCC |
|---|---|---|---|
In-Pero | 91.9 | 0.859 | 0.721 |
GraphIdn | 94.9 | 0.970 | 0.823 |
From: Identification of plant vacuole proteins by using graph neural network and contact maps
Model | Acc (%) | F1-score | MCC |
|---|---|---|---|
In-Pero | 91.9 | 0.859 | 0.721 |
GraphIdn | 94.9 | 0.970 | 0.823 |