rzulf

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Sep 29th, 2014
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  1. Confusion Matrix
  2. -------------------------------------------------------
  3. a b c d e f g h i j <--Classified as
  4. 349 0 0 9 0 0 0 0 53 22 | 433 a = sk
  5. 5 11692 4 8 0 0 4 3 0 71 | 11787 b = ro
  6. 20 1 11754 10 2 2 1 4 9 16 | 11819 c = hu
  7. 17 5 4 22894 3 1 4 4 14 9 | 22955 d = pl
  8. 1 2 1 3 3500 18 0 0 2 13 | 3540 e = lv
  9. 4 1 0 8 6 5892 0 0 0 18 | 5929 f = lt
  10. 1 3 2 0 3 4 5733 1 3 2 | 5752 g = et
  11. 0 3 5 7 0 0 2 8987 1 78 | 9083 h = nl
  12. 561 3 1 37 0 1 1 1 11188 23 | 11816 i = cs
  13. 1864 620 107 146 78 8 21 37 99 8470 | 11450 j = undef
  14. Default Category: undef: 9
  15.  
  16.  
  17. ----------------------------------------------------------------------------------------------
  18. | label | Errors | Count | % Err | Precision | Recall | F-Measure | AOC | MCC |
  19. ----------------------------------------------------------------------------------------------
  20. | sk | 84.0 | 433.0 | 0,194 | 0,124 | 0,806 | 0,214 | 0,586 | 0,108 |
  21. | ro | 95.0 | 11787.0 | 0,008 | 0,948 | 0,992 | 0,97 | 0,993 | 0,966 |
  22. | hu | 65.0 | 11819.0 | 0,005 | 0,99 | 0,995 | 0,992 | 0,997 | 0,991 |
  23. | pl | 61.0 | 22955.0 | 0,003 | 0,99 | 0,997 | 0,994 | 0,998 | 0,993 |
  24. | lv | 40.0 | 3540.0 | 0,011 | 0,974 | 0,989 | 0,981 | 0,993 | 0,979 |
  25. | lt | 37.0 | 5929.0 | 0,006 | 0,994 | 0,994 | 0,994 | 0,997 | 0,993 |
  26. | et | 19.0 | 5752.0 | 0,003 | 0,994 | 0,997 | 0,995 | 0,998 | 0,995 |
  27. | nl | 96.0 | 9083.0 | 0,011 | 0,994 | 0,989 | 0,992 | 0,994 | 0,991 |
  28. | cs | 628.0 | 11816.0 | 0,053 | 0,984 | 0,947 | 0,965 | 0,973 | 0,962 |
  29. ----------------------------------------------------------------------------------------------
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