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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 |