Run 10417362

Task 2295 (Supervised Regression) cholesterol Uploaded 14-11-2019 by Christian Geißler
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads

Issue	#Downvotes for this reason	By

Flow

sklearn.pipeline.Pipeline(imputer=sklearn.impute._base.SimpleImputer,estima tor=sklearn.linear_model.stochastic_gradient.SGDRegressor)(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	"mean"
sklearn.impute._base.SimpleImputer(1)_verbose	0
sklearn.pipeline.Pipeline(imputer=sklearn.impute._base.SimpleImputer,estimator=sklearn.linear_model.stochastic_gradient.SGDRegressor)(1)_memory	null
sklearn.pipeline.Pipeline(imputer=sklearn.impute._base.SimpleImputer,estimator=sklearn.linear_model.stochastic_gradient.SGDRegressor)(1)_steps	[{"oml-python:serialized_object": "component_reference", "value": {"key": "imputer", "step_name": "imputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "estimator", "step_name": "estimator"}}]
sklearn.pipeline.Pipeline(imputer=sklearn.impute._base.SimpleImputer,estimator=sklearn.linear_model.stochastic_gradient.SGDRegressor)(1)_verbose	false
sklearn.linear_model.stochastic_gradient.SGDRegressor(1)_alpha	1e-06
sklearn.linear_model.stochastic_gradient.SGDRegressor(1)_average	false
sklearn.linear_model.stochastic_gradient.SGDRegressor(1)_early_stopping	true
sklearn.linear_model.stochastic_gradient.SGDRegressor(1)_epsilon	0.1
sklearn.linear_model.stochastic_gradient.SGDRegressor(1)_eta0	0.020455001513802924
sklearn.linear_model.stochastic_gradient.SGDRegressor(1)_fit_intercept	true
sklearn.linear_model.stochastic_gradient.SGDRegressor(1)_l1_ratio	0.2792494115852621
sklearn.linear_model.stochastic_gradient.SGDRegressor(1)_learning_rate	"invscaling"
sklearn.linear_model.stochastic_gradient.SGDRegressor(1)_loss	"squared_loss"
sklearn.linear_model.stochastic_gradient.SGDRegressor(1)_max_iter	10.341258887981256
sklearn.linear_model.stochastic_gradient.SGDRegressor(1)_n_iter_no_change	5
sklearn.linear_model.stochastic_gradient.SGDRegressor(1)_penalty	"l2"
sklearn.linear_model.stochastic_gradient.SGDRegressor(1)_power_t	0.8
sklearn.linear_model.stochastic_gradient.SGDRegressor(1)_random_state	61200
sklearn.linear_model.stochastic_gradient.SGDRegressor(1)_shuffle	true
sklearn.linear_model.stochastic_gradient.SGDRegressor(1)_tol	1e-05
sklearn.linear_model.stochastic_gradient.SGDRegressor(1)_validation_fraction	0.1
sklearn.linear_model.stochastic_gradient.SGDRegressor(1)_verbose	0
sklearn.linear_model.stochastic_gradient.SGDRegressor(1)_warm_start	false