Run 10228260

Task 29 (Supervised Classification) credit-approval Uploaded 01-06-2019 by Felix Neutatz
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Flow

sklearn.pipeline.C37667dd7fac33f(n3=sklearn.compose._column_transformer.C37 667dd7fabdc5(n4=sklearn.preprocessing._function_transformer.C58a3fc8cc45af) ,c=sklearn.linear_model.logistic.LogisticRegression)(1)	Automatically created scikit-learn flow.
sklearn.linear_model.logistic.LogisticRegression(23)_C	0.001
sklearn.linear_model.logistic.LogisticRegression(23)_class_weight	"balanced"
sklearn.linear_model.logistic.LogisticRegression(23)_dual	false
sklearn.linear_model.logistic.LogisticRegression(23)_fit_intercept	true
sklearn.linear_model.logistic.LogisticRegression(23)_intercept_scaling	1
sklearn.linear_model.logistic.LogisticRegression(23)_max_iter	10000
sklearn.linear_model.logistic.LogisticRegression(23)_multi_class	"auto"
sklearn.linear_model.logistic.LogisticRegression(23)_n_jobs	null
sklearn.linear_model.logistic.LogisticRegression(23)_penalty	"l2"
sklearn.linear_model.logistic.LogisticRegression(23)_random_state	28026
sklearn.linear_model.logistic.LogisticRegression(23)_solver	"lbfgs"
sklearn.linear_model.logistic.LogisticRegression(23)_tol	0.0001
sklearn.linear_model.logistic.LogisticRegression(23)_verbose	0
sklearn.linear_model.logistic.LogisticRegression(23)_warm_start	false
sklearn.pipeline.C37667dd7fac33f(n3=sklearn.compose._column_transformer.C37667dd7fabdc5(n4=sklearn.preprocessing._function_transformer.C58a3fc8cc45af),c=sklearn.linear_model.logistic.LogisticRegression)(1)_memory	null
sklearn.pipeline.C37667dd7fac33f(n3=sklearn.compose._column_transformer.C37667dd7fabdc5(n4=sklearn.preprocessing._function_transformer.C58a3fc8cc45af),c=sklearn.linear_model.logistic.LogisticRegression)(1)_steps	[{"oml-python:serialized_object": "component_reference", "value": {"key": "n3", "step_name": "n3"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "c", "step_name": "c"}}]
sklearn.compose._column_transformer.C37667dd7fabdc5(n4=sklearn.preprocessing._function_transformer.C58a3fc8cc45af)(1)_n_jobs	null
sklearn.compose._column_transformer.C37667dd7fabdc5(n4=sklearn.preprocessing._function_transformer.C58a3fc8cc45af)(1)_remainder	"drop"
sklearn.compose._column_transformer.C37667dd7fabdc5(n4=sklearn.preprocessing._function_transformer.C58a3fc8cc45af)(1)_sparse_threshold	0.3
sklearn.compose._column_transformer.C37667dd7fabdc5(n4=sklearn.preprocessing._function_transformer.C58a3fc8cc45af)(1)_transformer_weights	null
sklearn.compose._column_transformer.C37667dd7fabdc5(n4=sklearn.preprocessing._function_transformer.C58a3fc8cc45af)(1)_transformers	[{"oml-python:serialized_object": "component_reference", "value": {"key": "n4", "step_name": "n4", "argument_1": [8]}}]
sklearn.preprocessing._function_transformer.C58a3fc8cc45af(1)_accept_sparse	false
sklearn.preprocessing._function_transformer.C58a3fc8cc45af(1)_check_inverse	true
sklearn.preprocessing._function_transformer.C58a3fc8cc45af(1)_func	{"oml-python:serialized_object": "function", "value": "fastsklearnfeature.candidates.Identity.identity"}
sklearn.preprocessing._function_transformer.C58a3fc8cc45af(1)_inv_kw_args	null
sklearn.preprocessing._function_transformer.C58a3fc8cc45af(1)_inverse_func	null
sklearn.preprocessing._function_transformer.C58a3fc8cc45af(1)_kw_args	null
sklearn.preprocessing._function_transformer.C58a3fc8cc45af(1)_pass_y	"deprecated"
sklearn.preprocessing._function_transformer.C58a3fc8cc45af(1)_validate	false