print(metrics.classification_report(y_test, svc_pred))
precision recall f1-score support automotive 1.00 0.38 0.56 13 books and literature 0.00 0.00 0.00 6 business 1.00 0.10 0.17 21 cooking at home 0.00 0.00 0.00 1 eating out at restaurants 1.00 0.50 0.67 2 economy 0.00 0.00 0.00 6 education 1.00 0.15 0.27 13 family and parenting 1.00 0.15 0.27 13 house pets 0.00 0.00 0.00 1 law, government, and politics 1.00 0.33 0.50 3 leisure travel 0.00 0.00 0.00 3 movies and television 1.00 0.28 0.43 18 music 0.88 0.47 0.62 112 news and current events 0.92 0.35 0.51 31 none 0.89 0.99 0.94 2575 personal finance 0.00 0.00 0.00 3 personal health 0.71 0.17 0.27 30 professional career 1.00 0.20 0.33 15 science 1.00 0.33 0.50 3 society 1.00 0.20 0.33 5 sports 0.89 0.17 0.29 47 style and fashion 1.00 0.20 0.33 10 technology 0.88 0.26 0.40 54 video games and gaming 0.00 0.00 0.00 15 accuracy 0.89 3000 macro avg 0.67 0.22 0.31 3000 weighted avg 0.88 0.89 0.86 3000 /shared-libs/python3.9/py/lib/python3.9/site-packages/sklearn/metrics/_classification.py:1334: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior. _warn_prf(average, modifier, msg_start, len(result)) /shared-libs/python3.9/py/lib/python3.9/site-packages/sklearn/metrics/_classification.py:1334: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior. _warn_prf(average, modifier, msg_start, len(result)) /shared-libs/python3.9/py/lib/python3.9/site-packages/sklearn/metrics/_classification.py:1334: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior. _warn_prf(average, modifier, msg_start, len(result))
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