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Jul 16th, 2019
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  1. 3000 epochs; crossvalidation; masking education and work experience; testing without masking
  2.  
  3. Class Precision Recall F1-score Support
  4.  
  5. Nothing 0.96 0.93 0.94 27387
  6. B-SK 0.60 0.74 0.66 255
  7. I-SK 0.50 0.44 0.45 161
  8. B-LG 0.86 0.89 0.88 122
  9. I-LG 0.00 0.00 0.00 3
  10. B-NM 0.90 0.70 0.77 157
  11. B-AD 0.84 0.59 0.68 219
  12. B-PH 0.81 0.64 0.67 137
  13. B-MA 0.97 0.99 0.98 156
  14. B-CP 0.43 0.60 0.50 200
  15. I-CP 0.49 0.60 0.54 591
  16. B-WP 0.78 0.88 0.83 202
  17. I-WP 0.76 0.93 0.84 647
  18. B-PO 0.42 0.54 0.47 203
  19. I-PO 0.37 0.59 0.45 502
  20. B-IN 0.54 0.55 0.54 95
  21. I-IN 0.62 0.68 0.65 368
  22. B-FI 0.40 0.64 0.49 75
  23. I-FI 0.50 0.74 0.59 370
  24. B-EP 0.79 0.75 0.77 92
  25. I-EP 0.74 0.69 0.71 219
  26. micro avg 0.89 0.89 0.89 32161
  27. macro avg 0.63 0.67 0.64 32161
  28. weighted avg 0.91 0.89 0.90 32161
  29. samples avg 0.89 0.89 0.89 32161
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