Run 10160775

Task 9946 (Supervised Classification) wdbc Uploaded 09-04-2019 by Vishal R
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Flow

sklearn.pipeline.Pipeline(col_trans1=sklearn.compose._column_transformer.Co lumnTransformer(norm1=sklearn.impute.SimpleImputer,scaler=sklearn.preproces sing.data.StandardScaler),svc=sklearn.svm.classes.SVC)(1)	Automatically created scikit-learn flow.
sklearn.svm.classes.SVC(28)_C	3
sklearn.svm.classes.SVC(28)_cache_size	200
sklearn.svm.classes.SVC(28)_class_weight	null
sklearn.svm.classes.SVC(28)_coef0	0.0
sklearn.svm.classes.SVC(28)_decision_function_shape	"ovr"
sklearn.svm.classes.SVC(28)_degree	3
sklearn.svm.classes.SVC(28)_gamma	"auto"
sklearn.svm.classes.SVC(28)_kernel	"rbf"
sklearn.svm.classes.SVC(28)_max_iter	-1
sklearn.svm.classes.SVC(28)_probability	false
sklearn.svm.classes.SVC(28)_random_state	59222
sklearn.svm.classes.SVC(28)_shrinking	true
sklearn.svm.classes.SVC(28)_tol	0.001
sklearn.svm.classes.SVC(28)_verbose	false
sklearn.preprocessing.data.StandardScaler(26)_copy	true
sklearn.preprocessing.data.StandardScaler(26)_with_mean	true
sklearn.preprocessing.data.StandardScaler(26)_with_std	true
sklearn.pipeline.Pipeline(col_trans1=sklearn.compose._column_transformer.ColumnTransformer(norm1=sklearn.impute.SimpleImputer,scaler=sklearn.preprocessing.data.StandardScaler),svc=sklearn.svm.classes.SVC)(1)_memory	null
sklearn.pipeline.Pipeline(col_trans1=sklearn.compose._column_transformer.ColumnTransformer(norm1=sklearn.impute.SimpleImputer,scaler=sklearn.preprocessing.data.StandardScaler),svc=sklearn.svm.classes.SVC)(1)_steps	[{"oml-python:serialized_object": "component_reference", "value": {"key": "col_trans1", "step_name": "col_trans1"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "svc", "step_name": "svc"}}]
sklearn.compose._column_transformer.ColumnTransformer(norm1=sklearn.impute.SimpleImputer,scaler=sklearn.preprocessing.data.StandardScaler)(1)_n_jobs	null
sklearn.compose._column_transformer.ColumnTransformer(norm1=sklearn.impute.SimpleImputer,scaler=sklearn.preprocessing.data.StandardScaler)(1)_remainder	"drop"
sklearn.compose._column_transformer.ColumnTransformer(norm1=sklearn.impute.SimpleImputer,scaler=sklearn.preprocessing.data.StandardScaler)(1)_sparse_threshold	0.3
sklearn.compose._column_transformer.ColumnTransformer(norm1=sklearn.impute.SimpleImputer,scaler=sklearn.preprocessing.data.StandardScaler)(1)_transformer_weights	null
sklearn.compose._column_transformer.ColumnTransformer(norm1=sklearn.impute.SimpleImputer,scaler=sklearn.preprocessing.data.StandardScaler)(1)_transformers	[{"oml-python:serialized_object": "component_reference", "value": {"key": "norm1", "step_name": "norm1", "argument_1": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29]}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "scaler", "step_name": "scaler", "argument_1": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29]}}]
sklearn.impute.SimpleImputer(11)_copy	true
sklearn.impute.SimpleImputer(11)_fill_value	null
sklearn.impute.SimpleImputer(11)_missing_values	NaN
sklearn.impute.SimpleImputer(11)_strategy	"most_frequent"
sklearn.impute.SimpleImputer(11)_verbose	0