[text] aoeu

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  1. ########## random ##########
  2. chi-square = 0.4501722595531282 komolgorov-smirnov = 0.6545816569925166
  3. train syn test real = 0.4195091263900438
  4. train real test real = 0.7911766058612706
  5. /job/.local/lib/python3.7/site-packages/sklearn/linear_model/_logistic.py:818: ConvergenceWarning: lbfgs failed to converge (status=1):
  6. STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.
  7.  
  8. Increase the number of iterations (max_iter) or scale the data as shown in:
  9.     https://scikit-learn.org/stable/modules/preprocessing.html
  10. Please also refer to the documentation for alternative solver options:
  11.     https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression
  12.   extra_warning_msg=_LOGISTIC_SOLVER_CONVERGENCE_MSG,
  13. /job/.local/lib/python3.7/site-packages/sklearn/linear_model/_logistic.py:818: ConvergenceWarning: lbfgs failed to converge (status=1):
  14. STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.
  15.  
  16. Increase the number of iterations (max_iter) or scale the data as shown in:
  17.     https://scikit-learn.org/stable/modules/preprocessing.html
  18. Please also refer to the documentation for alternative solver options:
  19.     https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression
  20.   extra_warning_msg=_LOGISTIC_SOLVER_CONVERGENCE_MSG,
  21. /job/.local/lib/python3.7/site-packages/sklearn/linear_model/_logistic.py:818: ConvergenceWarning: lbfgs failed to converge (status=1):
  22. STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.
  23.  
  24. Increase the number of iterations (max_iter) or scale the data as shown in:
  25.     https://scikit-learn.org/stable/modules/preprocessing.html
  26. Please also refer to the documentation for alternative solver options:
  27.     https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression
  28.   extra_warning_msg=_LOGISTIC_SOLVER_CONVERGENCE_MSG,
  29. detection accuracy = 0.004042243589061023
  30.  
  31. ########## non-private ##########
  32. chi-square = 0.9978330255485499 komolgorov-smirnov = 0.7872710707083116
  33. train syn test real = 0.679778225881639
  34. train real test real = 0.9608810487099397
  35. /job/.local/lib/python3.7/site-packages/sklearn/linear_model/_logistic.py:818: ConvergenceWarning: lbfgs failed to converge (status=1):
  36. STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.
  37.  
  38. Increase the number of iterations (max_iter) or scale the data as shown in:
  39.     https://scikit-learn.org/stable/modules/preprocessing.html
  40. Please also refer to the documentation for alternative solver options:
  41.     https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression
  42.   extra_warning_msg=_LOGISTIC_SOLVER_CONVERGENCE_MSG,
  43. /job/.local/lib/python3.7/site-packages/sklearn/linear_model/_logistic.py:818: ConvergenceWarning: lbfgs failed to converge (status=1):
  44. STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.
  45.  
  46. Increase the number of iterations (max_iter) or scale the data as shown in:
  47.     https://scikit-learn.org/stable/modules/preprocessing.html
  48. Please also refer to the documentation for alternative solver options:
  49.     https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression
  50.   extra_warning_msg=_LOGISTIC_SOLVER_CONVERGENCE_MSG,
  51. /job/.local/lib/python3.7/site-packages/sklearn/linear_model/_logistic.py:818: ConvergenceWarning: lbfgs failed to converge (status=1):
  52. STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.
  53.  
  54. Increase the number of iterations (max_iter) or scale the data as shown in:
  55.     https://scikit-learn.org/stable/modules/preprocessing.html
  56. Please also refer to the documentation for alternative solver options:
  57.     https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression
  58.   extra_warning_msg=_LOGISTIC_SOLVER_CONVERGENCE_MSG,
  59. detection accuracy = 0.8229110074254604
  60.  
  61. ########## private ##########
  62. chi-square = 0.9786142418525186 komolgorov-smirnov = 0.7728263873959645
  63. train syn test real = 0.5414910498992791
  64. train real test real = 0.926749461913152
  65. /job/.local/lib/python3.7/site-packages/sklearn/linear_model/_logistic.py:818: ConvergenceWarning: lbfgs failed to converge (status=1):
  66. STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.
  67.  
  68. Increase the number of iterations (max_iter) or scale the data as shown in:
  69.     https://scikit-learn.org/stable/modules/preprocessing.html
  70. Please also refer to the documentation for alternative solver options:
  71.     https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression
  72.   extra_warning_msg=_LOGISTIC_SOLVER_CONVERGENCE_MSG,
  73. /job/.local/lib/python3.7/site-packages/sklearn/linear_model/_logistic.py:818: ConvergenceWarning: lbfgs failed to converge (status=1):
  74. STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.
  75.  
  76. Increase the number of iterations (max_iter) or scale the data as shown in:
  77.     https://scikit-learn.org/stable/modules/preprocessing.html
  78. Please also refer to the documentation for alternative solver options:
  79.     https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression
  80.   extra_warning_msg=_LOGISTIC_SOLVER_CONVERGENCE_MSG,
  81. detection accuracy = 0.6649812548348344
  82.  
  83. /job/.local/lib/python3.7/site-packages/sklearn/linear_model/_logistic.py:818: ConvergenceWarning: lbfgs failed to converge (status=1):
  84. STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.
  85.  
  86. Increase the number of iterations (max_iter) or scale the data as shown in:
  87.     https://scikit-learn.org/stable/modules/preprocessing.html
  88. Please also refer to the documentation for alternative solver options:
  89.     https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression
  90.   extra_warning_msg=_LOGISTIC_SOLVER_CONVERGENCE_MSG,

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