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a guest Jul 16th, 2019 56 Never
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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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