- ########## random ##########
- chi-square = 0.4501722595531282 komolgorov-smirnov = 0.6545816569925166
- train syn test real = 0.4195091263900438
- train real test real = 0.7911766058612706
- /job/.local/lib/python3.7/site-packages/sklearn/linear_model/_logistic.py:818: ConvergenceWarning: lbfgs failed to converge (status=1):
- STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.
- Increase the number of iterations (max_iter) or scale the data as shown in:
- https://scikit-learn.org/stable/modules/preprocessing.html
- Please also refer to the documentation for alternative solver options:
- https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression
- extra_warning_msg=_LOGISTIC_SOLVER_CONVERGENCE_MSG,
- /job/.local/lib/python3.7/site-packages/sklearn/linear_model/_logistic.py:818: ConvergenceWarning: lbfgs failed to converge (status=1):
- STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.
- Increase the number of iterations (max_iter) or scale the data as shown in:
- https://scikit-learn.org/stable/modules/preprocessing.html
- Please also refer to the documentation for alternative solver options:
- https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression
- extra_warning_msg=_LOGISTIC_SOLVER_CONVERGENCE_MSG,
- /job/.local/lib/python3.7/site-packages/sklearn/linear_model/_logistic.py:818: ConvergenceWarning: lbfgs failed to converge (status=1):
- STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.
- Increase the number of iterations (max_iter) or scale the data as shown in:
- https://scikit-learn.org/stable/modules/preprocessing.html
- Please also refer to the documentation for alternative solver options:
- https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression
- extra_warning_msg=_LOGISTIC_SOLVER_CONVERGENCE_MSG,
- detection accuracy = 0.004042243589061023
- ########## non-private ##########
- chi-square = 0.9978330255485499 komolgorov-smirnov = 0.7872710707083116
- train syn test real = 0.679778225881639
- train real test real = 0.9608810487099397
- /job/.local/lib/python3.7/site-packages/sklearn/linear_model/_logistic.py:818: ConvergenceWarning: lbfgs failed to converge (status=1):
- STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.
- Increase the number of iterations (max_iter) or scale the data as shown in:
- https://scikit-learn.org/stable/modules/preprocessing.html
- Please also refer to the documentation for alternative solver options:
- https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression
- extra_warning_msg=_LOGISTIC_SOLVER_CONVERGENCE_MSG,
- /job/.local/lib/python3.7/site-packages/sklearn/linear_model/_logistic.py:818: ConvergenceWarning: lbfgs failed to converge (status=1):
- STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.
- Increase the number of iterations (max_iter) or scale the data as shown in:
- https://scikit-learn.org/stable/modules/preprocessing.html
- Please also refer to the documentation for alternative solver options:
- https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression
- extra_warning_msg=_LOGISTIC_SOLVER_CONVERGENCE_MSG,
- /job/.local/lib/python3.7/site-packages/sklearn/linear_model/_logistic.py:818: ConvergenceWarning: lbfgs failed to converge (status=1):
- STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.
- Increase the number of iterations (max_iter) or scale the data as shown in:
- https://scikit-learn.org/stable/modules/preprocessing.html
- Please also refer to the documentation for alternative solver options:
- https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression
- extra_warning_msg=_LOGISTIC_SOLVER_CONVERGENCE_MSG,
- detection accuracy = 0.8229110074254604
- ########## private ##########
- chi-square = 0.9786142418525186 komolgorov-smirnov = 0.7728263873959645
- train syn test real = 0.5414910498992791
- train real test real = 0.926749461913152
- /job/.local/lib/python3.7/site-packages/sklearn/linear_model/_logistic.py:818: ConvergenceWarning: lbfgs failed to converge (status=1):
- STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.
- Increase the number of iterations (max_iter) or scale the data as shown in:
- https://scikit-learn.org/stable/modules/preprocessing.html
- Please also refer to the documentation for alternative solver options:
- https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression
- extra_warning_msg=_LOGISTIC_SOLVER_CONVERGENCE_MSG,
- /job/.local/lib/python3.7/site-packages/sklearn/linear_model/_logistic.py:818: ConvergenceWarning: lbfgs failed to converge (status=1):
- STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.
- Increase the number of iterations (max_iter) or scale the data as shown in:
- https://scikit-learn.org/stable/modules/preprocessing.html
- Please also refer to the documentation for alternative solver options:
- https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression
- extra_warning_msg=_LOGISTIC_SOLVER_CONVERGENCE_MSG,
- detection accuracy = 0.6649812548348344
- /job/.local/lib/python3.7/site-packages/sklearn/linear_model/_logistic.py:818: ConvergenceWarning: lbfgs failed to converge (status=1):
- STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.
- Increase the number of iterations (max_iter) or scale the data as shown in:
- https://scikit-learn.org/stable/modules/preprocessing.html
- Please also refer to the documentation for alternative solver options:
- https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression
- extra_warning_msg=_LOGISTIC_SOLVER_CONVERGENCE_MSG,
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