Table 3 The values of precision, recall, F1 and AUC.
From: Predicting the effect of chemicals on fruit using graph neural networks
No. | Precision (% ) | Recall (% ) | F1 % | AUC |
|---|---|---|---|---|
1 | 81.63 | 83.33 | 82.47 | 0.8302 |
2 | 80.39 | 85.42 | 82.83 | 0.8333 |
3 | 80.39 | 85.42 | 82.83 | 0.8169 |
4 | 86.00 | 89.58 | 87.76 | 0.8754 |
5 | 82.35 | 87.50 | 84.85 | 0.8486 |
6 | 81.82 | 75.00 | 78.26 | 0.7945 |
7 | 81.82 | 93.75 | 87.38 | 0.8652 |
8 | 81.48 | 91.67 | 86.28 | 0.8712 |
9 | 86.05 | 77.08 | 81.32 | 0.8185 |
10 | 85.11 | 85.11 | 85.10 | 0.8703 |
