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- precision recall f1-score support
- Nothing 0.96 0.90 0.93 7590
- B-SK 0.73 0.85 0.79 96
- I-SK 0.57 0.68 0.62 50
- B-LG 0.93 0.91 0.92 44
- I-LG 0.00 0.00 0.00 1
- B-NM 0.87 0.74 0.80 62
- B-AD 0.83 0.66 0.74 83
- B-PH 0.73 0.81 0.77 27
- B-MA 0.93 1.00 0.97 42
- B-CP 0.39 0.40 0.40 65
- I-CP 0.59 0.56 0.57 213
- B-WP 0.65 0.93 0.77 61
- I-WP 0.75 0.95 0.84 240
- B-PO 0.29 0.54 0.38 65
- I-PO 0.23 0.71 0.35 139
- B-IN 0.43 0.76 0.55 25
- I-IN 0.56 0.78 0.65 138
- B-FI 0.54 0.57 0.56 35
- I-FI 0.65 0.66 0.66 168
- B-EP 0.59 0.79 0.68 28
- I-EP 0.66 0.75 0.71 73
- micro avg 0.87 0.87 0.87 9245
- macro avg 0.61 0.71 0.65 9245
- weighted avg 0.90 0.87 0.88 9245
- samples avg 0.87 0.87 0.87 9245
- /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.
- 'precision', 'predicted', average, warn_for)
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