| cls_report = precision recall f1-score support | |
| 0.0 0.7941 0.8710 0.8308 93 | |
| 1.0 0.8837 0.9268 0.9048 82 | |
| 2.0 0.8000 0.7500 0.7742 80 | |
| 3.0 0.8824 0.9375 0.9091 16 | |
| 4.0 0.8947 0.7846 0.8361 65 | |
| 5.0 1.0000 1.0000 1.0000 18 | |
| 6.0 0.8846 0.9200 0.9020 25 | |
| 7.0 1.0000 0.8333 0.9091 18 | |
| 8.0 0.9231 1.0000 0.9600 12 | |
| 9.0 1.0000 1.0000 1.0000 11 | |
| accuracy 0.8619 420 | |
| macro avg 0.9063 0.9023 0.9026 420 | |
| weighted avg 0.8638 0.8619 0.8612 420 | |
| eval_loss = 0.43598400694983347 | |
| macro_f1 = 0.9025932860184268 | |
| macro_p = 0.9062620668265422 | |
| macro_r = 0.9023245728176885 | |
| mcc = 0.8363695533814596 | |