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  1. # `needsdiagnosis` model evaluation
  2. ## Full dataset (reverted original titles)
  3. ### Report
  4.  
  5. ```
  6. precision recall f1-score support
  7. False 0.90 0.99 0.94 11174
  8. True 0.70 0.24 0.36 1537
  9.  
  10. accuracy 0.90 12711
  11. macro avg 0.80 0.61 0.65 12711
  12. weighted avg 0.88 0.90 0.87 12711
  13.  
  14. ```
  15.  
  16. ### Confusion matrix
  17.  
  18. ```
  19. [[11010 164]
  20. [ 1162 375]]
  21. ```
  22.  
  23. ## Balanced dataset (reverted original titles)
  24.  
  25. ### Report
  26. ``` precision recall f1-score support
  27. False 0.71 0.77 0.74 1562
  28. True 0.75 0.68 0.72 1583
  29.  
  30. accuracy 0.73 3145
  31. macro avg 0.73 0.73 0.73 3145
  32. weighted avg 0.73 0.73 0.73 3145
  33.  
  34. ```
  35. ### Confusion matrix
  36. ```
  37. [[1210 352]
  38. [ 501 1082]]
  39. ```
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