Run 6718226

Task 29 (Supervised Classification) credit-approval Uploaded 01-09-2017 by Jan van Rijn
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sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.pipeli ne.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hoten coding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.f eature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.sv m.classes.SVC))(1)	Automatically created scikit-learn flow.
openmlstudy14.preprocessing.ConditionalImputer(5)_axis	0
openmlstudy14.preprocessing.ConditionalImputer(5)_categorical_features	[0, 3, 4, 5, 6, 8, 9, 11, 12]
openmlstudy14.preprocessing.ConditionalImputer(5)_copy	true
openmlstudy14.preprocessing.ConditionalImputer(5)_fill_empty	0
openmlstudy14.preprocessing.ConditionalImputer(5)_missing_values	"NaN"
openmlstudy14.preprocessing.ConditionalImputer(5)_strategy	"median"
openmlstudy14.preprocessing.ConditionalImputer(5)_strategy_nominal	"most_frequent"
openmlstudy14.preprocessing.ConditionalImputer(5)_verbose	0
sklearn.preprocessing.data.OneHotEncoder(9)_categorical_features	[0, 3, 4, 5, 6, 8, 9, 11, 12]
sklearn.preprocessing.data.OneHotEncoder(9)_dtype	{"oml-python:serialized_object": "type", "value": "np.float64"}
sklearn.preprocessing.data.OneHotEncoder(9)_handle_unknown	"ignore"
sklearn.preprocessing.data.OneHotEncoder(9)_n_values	"auto"
sklearn.preprocessing.data.OneHotEncoder(9)_sparse	true
sklearn.feature_selection.variance_threshold.VarianceThreshold(7)_threshold	0.0
sklearn.svm.classes.SVC(11)_C	0.6803950000871886
sklearn.svm.classes.SVC(11)_cache_size	200
sklearn.svm.classes.SVC(11)_class_weight	null
sklearn.svm.classes.SVC(11)_coef0	0.0
sklearn.svm.classes.SVC(11)_decision_function_shape	null
sklearn.svm.classes.SVC(11)_degree	3
sklearn.svm.classes.SVC(11)_gamma	"auto"
sklearn.svm.classes.SVC(11)_kernel	"sigmoid"
sklearn.svm.classes.SVC(11)_max_iter	-1
sklearn.svm.classes.SVC(11)_probability	true
sklearn.svm.classes.SVC(11)_random_state	1
sklearn.svm.classes.SVC(11)_shrinking	true
sklearn.svm.classes.SVC(11)_tol	0.001
sklearn.svm.classes.SVC(11)_verbose	false
sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.svm.classes.SVC))(1)_cv	null
sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.svm.classes.SVC))(1)_error_score	"raise"
sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.svm.classes.SVC))(1)_fit_params	{}
sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.svm.classes.SVC))(1)_iid	true
sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.svm.classes.SVC))(1)_n_iter	50
sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.svm.classes.SVC))(1)_n_jobs	-1
sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.svm.classes.SVC))(1)_param_distributions	{"classifier__coef0": {"oml-python:serialized_object": "rv_frozen", "value": {"dist": "scipy.stats._continuous_distns.uniform_gen", "a": 0.0, "b": 1.0, "args": [], "kwds": {"loc": -1.0, "scale": 2.0}}}, "classifier__gamma": {"oml-python:serialized_object": "rv_frozen", "value": {"dist": "openmlstudy14.distributions.loguniform_gen", "a": 3.0517578125e-05, "b": 8, "args": [], "kwds": {"low": 3.0517578125e-05, "high": 8, "base": 2}}}, "classifier__shrinking": [true, false], "classifier__tol": {"oml-python:serialized_object": "rv_frozen", "value": {"dist": "openmlstudy14.distributions.loguniform_gen", "a": 1e-05, "b": 0.1, "args": [], "kwds": {"low": 1e-05, "high": 0.1, "base": 2}}}, "imputation__strategy": ["mean", "median", "most_frequent"]}
sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.svm.classes.SVC))(1)_pre_dispatch	"2*n_jobs"
sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.svm.classes.SVC))(1)_random_state	1
sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.svm.classes.SVC))(1)_refit	true
sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.svm.classes.SVC))(1)_return_train_score	true
sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.svm.classes.SVC))(1)_scoring	null
sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.svm.classes.SVC))(1)_verbose	0