Upload results.json with huggingface_hub
Browse files- results.json +98 -0
results.json
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{
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"Logistic Regression": {
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"accuracy": 0.8218,
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"f1_macro": 0.8222,
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"f1_weighted": 0.8209,
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"report": " precision recall f1-score support\n\n creative 0.78 0.89 0.83 45\ninformational 0.84 0.77 0.80 48\n task 0.80 0.89 0.85 37\n adversarial 0.87 0.75 0.80 44\n\n accuracy 0.82 174\n macro avg 0.82 0.83 0.82 174\n weighted avg 0.83 0.82 0.82 174\n",
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"confusion_matrix": [
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[
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]
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]
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},
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"Linear SVM": {
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"accuracy": 0.7816,
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"f1_macro": 0.7824,
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"f1_weighted": 0.7816,
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"report": " precision recall f1-score support\n\n creative 0.70 0.84 0.77 45\ninformational 0.84 0.75 0.79 48\n task 0.78 0.84 0.81 37\n adversarial 0.84 0.70 0.77 44\n\n accuracy 0.78 174\n macro avg 0.79 0.78 0.78 174\n weighted avg 0.79 0.78 0.78 174\n",
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"confusion_matrix": [
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[
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},
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"MLP": {
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"accuracy": 0.8103,
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"f1_macro": 0.809,
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"f1_weighted": 0.81,
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"report": " precision recall f1-score support\n\n creative 0.83 0.87 0.85 45\ninformational 0.75 0.85 0.80 48\n task 0.84 0.73 0.78 37\n adversarial 0.85 0.77 0.81 44\n\n accuracy 0.81 174\n macro avg 0.82 0.81 0.81 174\n weighted avg 0.81 0.81 0.81 174\n",
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"confusion_matrix": [
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[
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]
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}
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}
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