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Jul 22nd, 2019
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  1. acc: 90.31%
  2.  
  3. Confusion Matrix:
  4. [[ 1 68 0 0]
  5. [ 0 110 0 1]
  6. [ 0 1 0 0]
  7. [ 0 15 0 4]]
  8.  
  9. Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.
  10. 'precision', 'predicted', average, warn_for)
  11. Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.
  12. 'recall', 'true', average, warn_for)
  13.  
  14. Classification Report:
  15. precision recall f1-score support
  16.  
  17. 0 1.00 0.01 0.03 69
  18. 1 0.00 0.00 0.00 0
  19. 2 0.00 0.00 0.00 0
  20. 3 0.57 0.99 0.72 111
  21. 4 0.00 0.00 0.00 0
  22. 5 0.00 0.00 0.00 0
  23. 6 0.00 0.00 0.00 1
  24. 7 0.80 0.21 0.33 19
  25. 8 0.00 0.00 0.00 0
  26. 9 0.00 0.00 0.00 0
  27. 10 0.00 0.00 0.00 0
  28. 11 0.00 0.00 0.00 0
  29. 12 0.00 0.00 0.00 0
  30.  
  31. micro avg 0.57 0.57 0.57 200
  32. macro avg 0.18 0.09 0.08 200
  33. weighted avg 0.74 0.57 0.44 200
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