| cls_report = precision recall f1-score support | |
| 0.0 0.8916 0.7957 0.8409 93 | |
| 1.0 0.8537 0.8537 0.8537 82 | |
| 2.0 0.6962 0.6875 0.6918 80 | |
| 3.0 1.0000 1.0000 1.0000 57 | |
| 4.0 0.7714 0.8308 0.8000 65 | |
| 5.0 0.9494 0.9740 0.9615 77 | |
| 6.0 0.9889 1.0000 0.9944 89 | |
| 7.0 0.9474 0.9863 0.9664 73 | |
| 8.0 1.0000 1.0000 1.0000 13 | |
| 9.0 1.0000 1.0000 1.0000 9 | |
| accuracy 0.8903 638 | |
| macro avg 0.9098 0.9128 0.9109 638 | |
| weighted avg 0.8903 0.8903 0.8897 638 | |
| eval_loss = 0.29622152000665664 | |
| macro_f1 = 0.9108786349245351 | |
| macro_p = 0.9098480303268863 | |
| macro_r = 0.9127954035974767 | |
| mcc = 0.8756280066894239 | |