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Jul 16th, 2019
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  1. precision recall f1-score support
  2.  
  3. Nothing 0.95 0.93 0.94 7590
  4. B-SK 0.68 0.85 0.76 96
  5. I-SK 0.70 0.62 0.66 50
  6. B-LG 0.95 0.91 0.93 44
  7. I-LG 0.00 0.00 0.00 1
  8. B-NM 0.94 0.71 0.81 62
  9. B-AD 0.84 0.63 0.72 83
  10. B-PH 0.80 0.74 0.77 27
  11. B-MA 0.93 1.00 0.97 42
  12. B-CP 0.37 0.42 0.39 65
  13. I-CP 0.60 0.52 0.56 213
  14. B-WP 0.76 0.92 0.83 61
  15. I-WP 0.79 0.96 0.87 240
  16. B-PO 0.36 0.51 0.42 65
  17. I-PO 0.30 0.68 0.42 139
  18. B-IN 0.62 0.60 0.61 25
  19. I-IN 0.85 0.51 0.64 138
  20. B-FI 0.69 0.69 0.69 35
  21. I-FI 0.75 0.55 0.64 168
  22. B-EP 0.76 0.79 0.77 28
  23. I-EP 0.75 0.88 0.81 73
  24.  
  25. micro avg 0.89 0.89 0.89 9245
  26. macro avg 0.69 0.69 0.68 9245
  27. weighted avg 0.90 0.89 0.89 9245
  28. samples avg 0.89 0.89 0.89 9245
  29.  
  30. /usr/local/lib/python3.6/dist-packages/sklearn/metrics/classification.py:1437: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.
  31. 'precision', 'predicted', average, warn_for)
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