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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
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