Run 10363316

Task 23 (Supervised Classification) cmc Uploaded 22-08-2019 by Heinrich Peters
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Issue	#Downvotes for this reason	By

Flow

sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer, columntransformer=sklearn.compose._column_transformer.ColumnTransformer(num =sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.StandardScaler ),cat=sklearn.pipeline.Pipeline(onehot=sklearn.preprocessing._encoders.OneH otEncoder)),svc=sklearn.svm.classes.SVC)(1)	Automatically created scikit-learn flow.
sklearn.impute._base.SimpleImputer(1)_add_indicator	false
sklearn.impute._base.SimpleImputer(1)_copy	true
sklearn.impute._base.SimpleImputer(1)_fill_value	null
sklearn.impute._base.SimpleImputer(1)_missing_values	NaN
sklearn.impute._base.SimpleImputer(1)_strategy	"most_frequent"
sklearn.impute._base.SimpleImputer(1)_verbose	0
sklearn.preprocessing.data.StandardScaler(29)_copy	true
sklearn.preprocessing.data.StandardScaler(29)_with_mean	true
sklearn.preprocessing.data.StandardScaler(29)_with_std	true
sklearn.svm.classes.SVC(31)_C	0.07077231909653779
sklearn.svm.classes.SVC(31)_cache_size	200
sklearn.svm.classes.SVC(31)_class_weight	null
sklearn.svm.classes.SVC(31)_coef0	0.9005967890758899
sklearn.svm.classes.SVC(31)_decision_function_shape	"ovr"
sklearn.svm.classes.SVC(31)_degree	4
sklearn.svm.classes.SVC(31)_gamma	2.867595836610148
sklearn.svm.classes.SVC(31)_kernel	"poly"
sklearn.svm.classes.SVC(31)_max_iter	-1
sklearn.svm.classes.SVC(31)_probability	false
sklearn.svm.classes.SVC(31)_random_state	3999
sklearn.svm.classes.SVC(31)_shrinking	true
sklearn.svm.classes.SVC(31)_tol	0.001
sklearn.svm.classes.SVC(31)_verbose	false
sklearn.preprocessing._encoders.OneHotEncoder(11)_categorical_features	null
sklearn.preprocessing._encoders.OneHotEncoder(11)_categories	null
sklearn.preprocessing._encoders.OneHotEncoder(11)_drop	null
sklearn.preprocessing._encoders.OneHotEncoder(11)_dtype	{"oml-python:serialized_object": "type", "value": "np.float64"}
sklearn.preprocessing._encoders.OneHotEncoder(11)_handle_unknown	"ignore"
sklearn.preprocessing._encoders.OneHotEncoder(11)_n_values	null
sklearn.preprocessing._encoders.OneHotEncoder(11)_sparse	true
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,columntransformer=sklearn.compose._column_transformer.ColumnTransformer(num=sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.StandardScaler),cat=sklearn.pipeline.Pipeline(onehot=sklearn.preprocessing._encoders.OneHotEncoder)),svc=sklearn.svm.classes.SVC)(1)_memory	null
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,columntransformer=sklearn.compose._column_transformer.ColumnTransformer(num=sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.StandardScaler),cat=sklearn.pipeline.Pipeline(onehot=sklearn.preprocessing._encoders.OneHotEncoder)),svc=sklearn.svm.classes.SVC)(1)_steps	[{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "columntransformer", "step_name": "columntransformer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "svc", "step_name": "svc"}}]
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,columntransformer=sklearn.compose._column_transformer.ColumnTransformer(num=sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.StandardScaler),cat=sklearn.pipeline.Pipeline(onehot=sklearn.preprocessing._encoders.OneHotEncoder)),svc=sklearn.svm.classes.SVC)(1)_verbose	false
sklearn.compose._column_transformer.ColumnTransformer(num=sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.StandardScaler),cat=sklearn.pipeline.Pipeline(onehot=sklearn.preprocessing._encoders.OneHotEncoder))(1)_n_jobs	null
sklearn.compose._column_transformer.ColumnTransformer(num=sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.StandardScaler),cat=sklearn.pipeline.Pipeline(onehot=sklearn.preprocessing._encoders.OneHotEncoder))(1)_remainder	"drop"
sklearn.compose._column_transformer.ColumnTransformer(num=sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.StandardScaler),cat=sklearn.pipeline.Pipeline(onehot=sklearn.preprocessing._encoders.OneHotEncoder))(1)_sparse_threshold	0.3
sklearn.compose._column_transformer.ColumnTransformer(num=sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.StandardScaler),cat=sklearn.pipeline.Pipeline(onehot=sklearn.preprocessing._encoders.OneHotEncoder))(1)_transformer_weights	null
sklearn.compose._column_transformer.ColumnTransformer(num=sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.StandardScaler),cat=sklearn.pipeline.Pipeline(onehot=sklearn.preprocessing._encoders.OneHotEncoder))(1)_transformers	[{"oml-python:serialized_object": "component_reference", "value": {"key": "num", "step_name": "num", "argument_1": [true, false, false, true, false, false, false, false, false]}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "cat", "step_name": "cat", "argument_1": [false, true, true, false, true, true, true, true, true]}}]
sklearn.compose._column_transformer.ColumnTransformer(num=sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.StandardScaler),cat=sklearn.pipeline.Pipeline(onehot=sklearn.preprocessing._encoders.OneHotEncoder))(1)_verbose	false
sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.StandardScaler)(1)_memory	null
sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.StandardScaler)(1)_steps	[{"oml-python:serialized_object": "component_reference", "value": {"key": "scaler", "step_name": "scaler"}}]
sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.StandardScaler)(1)_verbose	false
sklearn.pipeline.Pipeline(onehot=sklearn.preprocessing._encoders.OneHotEncoder)(1)_memory	null
sklearn.pipeline.Pipeline(onehot=sklearn.preprocessing._encoders.OneHotEncoder)(1)_steps	[{"oml-python:serialized_object": "component_reference", "value": {"key": "onehot", "step_name": "onehot"}}]
sklearn.pipeline.Pipeline(onehot=sklearn.preprocessing._encoders.OneHotEncoder)(1)_verbose	false