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{
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"test_classification_report": "{\"acceptance\": {\"precision\": 1.0, \"recall\": 0.8888888888888888, \"f1-score\": 0.9411764705882353, \"support\": 9.0}, \"apology\": {\"precision\": 1.0, \"recall\": 0.5, \"f1-score\": 0.6666666666666666, \"support\": 2.0}, \"appreciation\": {\"precision\": 0.7692307692307693, \"recall\": 0.9090909090909091, \"f1-score\": 0.8333333333333333, \"support\": 11.0}, \"challenge\": {\"precision\": 0.7105263157894737, \"recall\": 0.75, \"f1-score\": 0.7297297297297298, \"support\": 36.0}, \"informing statement\": {\"precision\": 0.7941176470588235, \"recall\": 0.6923076923076923, \"f1-score\": 0.7397260273972601, \"support\": 39.0}, \"question\": {\"precision\": 0.7777777777777778, \"recall\": 0.7777777777777778, \"f1-score\": 0.7777777777777778, \"support\": 9.0}, \"rejection\": {\"precision\": 1.0, \"recall\": 0.8461538461538461, \"f1-score\": 0.9166666666666666, \"support\": 13.0}, \"request\": {\"precision\": 0.6190476190476191, \"recall\": 0.8125, \"f1-score\": 0.7027027027027026, \"support\": 16.0}, \"accuracy\": 0.7703703703703704, \"macro avg\": {\"precision\": 0.833837516113058, \"recall\": 0.7720898892773893, \"f1-score\": 0.7884724218577965, \"support\": 135.0}, \"weighted avg\": {\"precision\": 0.784561747926041, \"recall\": 0.7703703703703704, \"f1-score\": 0.7722228406219811, \"support\": 135.0}}",
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} |