Table 2 The values of precision, recall, F1 and AUC.
From: Predicting the effect of chemicals on fruit using graph neural networks
Name | Value |
|---|---|
Radius | 1 |
Layer of graph | 6 |
Layer of fully connected | 10 |
Batch size | 4 |
Learning rate | 0.0001 |
Learning rate decay | 0.99 |
Decay interval | 10 |
Iteration | 1000 |
