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Run 8858262
Task 146822 (Supervised Classification)
segment
Uploaded 21-02-2018 by
Jan van Rijn
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sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.Conditiona lImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethres hold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classif ier=sklearn.linear_model.logistic.LogisticRegression)(1)
Automatically created scikit-learn flow.
openmlstudy14.preprocessing.ConditionalImputer(6)_axis
0
openmlstudy14.preprocessing.ConditionalImputer(6)_categorical_features
[]
openmlstudy14.preprocessing.ConditionalImputer(6)_copy
true
openmlstudy14.preprocessing.ConditionalImputer(6)_fill_empty
0
openmlstudy14.preprocessing.ConditionalImputer(6)_missing_values
"NaN"
openmlstudy14.preprocessing.ConditionalImputer(6)_strategy
"median"
openmlstudy14.preprocessing.ConditionalImputer(6)_strategy_nominal
"most_frequent"
openmlstudy14.preprocessing.ConditionalImputer(6)_verbose
0
sklearn.preprocessing.data.OneHotEncoder(18)_categorical_features
[]
sklearn.preprocessing.data.OneHotEncoder(18)_dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
sklearn.preprocessing.data.OneHotEncoder(18)_handle_unknown
"ignore"
sklearn.preprocessing.data.OneHotEncoder(18)_n_values
"auto"
sklearn.preprocessing.data.OneHotEncoder(18)_sparse
true
sklearn.feature_selection.variance_threshold.VarianceThreshold(12)_threshold
0.0
sklearn.linear_model.logistic.LogisticRegression(12)_C
1.0
sklearn.linear_model.logistic.LogisticRegression(12)_class_weight
null
sklearn.linear_model.logistic.LogisticRegression(12)_dual
false
sklearn.linear_model.logistic.LogisticRegression(12)_fit_intercept
true
sklearn.linear_model.logistic.LogisticRegression(12)_intercept_scaling
1
sklearn.linear_model.logistic.LogisticRegression(12)_max_iter
100
sklearn.linear_model.logistic.LogisticRegression(12)_multi_class
"ovr"
sklearn.linear_model.logistic.LogisticRegression(12)_n_jobs
1
sklearn.linear_model.logistic.LogisticRegression(12)_penalty
"l2"
sklearn.linear_model.logistic.LogisticRegression(12)_random_state
1
sklearn.linear_model.logistic.LogisticRegression(12)_solver
"liblinear"
sklearn.linear_model.logistic.LogisticRegression(12)_tol
0.0001
sklearn.linear_model.logistic.LogisticRegression(12)_verbose
0
sklearn.linear_model.logistic.LogisticRegression(12)_warm_start
false
Result files
0 Evaluation measures