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Oct 31st, 2014
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  1. CLEAN DATA
  2. total_error =
  3.  
  4. 0.2698
  5.  
  6.  
  7. confusion =
  8.  
  9. 10.7000 0.9000 0.3000 0.3000 0.8000 0.2000
  10. 4.0000 13.3000 0.1000 0.8000 0.9000 0.7000
  11. 1.7000 0.3000 8.2000 0 0.5000 1.2000
  12. 1.7000 0.9000 0.2000 17.7000 0.8000 0.3000
  13. 4.4000 0.9000 0.5000 0.7000 6.5000 0.2000
  14. 2.1000 0.2000 1.1000 0.6000 0.6000 16.1000
  15.  
  16.  
  17. accuracy =
  18.  
  19. 0.7221
  20.  
  21.  
  22. recalls =
  23.  
  24. 0.8106
  25. 0.6717
  26. 0.6891
  27. 0.8194
  28. 0.4924
  29. 0.7778
  30.  
  31.  
  32. precisions =
  33.  
  34. 0.4350
  35. 0.8061
  36. 0.7885
  37. 0.8806
  38. 0.6436
  39. 0.8610
  40.  
  41.  
  42. f1s =
  43.  
  44. 0.5661
  45. 0.7328
  46. 0.7354
  47. 0.8489
  48. 0.5579
  49. 0.8173
  50.  
  51.  
  52. NOISY DATA
  53. total_error =
  54.  
  55. 0.4106
  56.  
  57.  
  58. confusion =
  59.  
  60. 4.4000 0.5000 1.5000 0.6000 1.3000 0.5000
  61. 3.7000 11.9000 1.2000 1.3000 0.3000 0.3000
  62. 4.3000 1.6000 9.5000 1.6000 0.6000 1.1000
  63. 2.8000 0.9000 0.7000 15.5000 0.2000 0.8000
  64. 3.7000 0.8000 0.3000 0.6000 4.9000 0.7000
  65. 3.6000 0.4000 1.2000 0.9000 1.0000 14.9000
  66.  
  67.  
  68. accuracy =
  69.  
  70. 0.6104
  71.  
  72.  
  73. recalls =
  74.  
  75. 0.5000
  76. 0.6364
  77. 0.5080
  78. 0.7416
  79. 0.4455
  80. 0.6773
  81.  
  82.  
  83. precisions =
  84.  
  85. 0.1956
  86. 0.7391
  87. 0.6597
  88. 0.7561
  89. 0.5904
  90. 0.8142
  91.  
  92.  
  93. f1s =
  94.  
  95. 0.2812
  96. 0.6839
  97. 0.5740
  98. 0.7488
  99. 0.5078
  100. 0.7395
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