Run
10417341

Run 10417341

Task 190423 (Supervised Regression) Concrete_Data Uploaded 14-11-2019 by Christian Geißler
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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_indicatorfalse
sklearn.impute._base.SimpleImputer(1)_copytrue
sklearn.impute._base.SimpleImputer(1)_fill_valuenull
sklearn.impute._base.SimpleImputer(1)_missing_valuesNaN
sklearn.impute._base.SimpleImputer(1)_strategy"mean"
sklearn.impute._base.SimpleImputer(1)_verbose0
sklearn.pipeline.Pipeline(imputer=sklearn.impute._base.SimpleImputer,estimator=sklearn.linear_model.stochastic_gradient.SGDRegressor)(1)_memorynull
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)_verbosefalse
sklearn.linear_model.stochastic_gradient.SGDRegressor(1)_alpha1.6375635279643044e-05
sklearn.linear_model.stochastic_gradient.SGDRegressor(1)_averagefalse
sklearn.linear_model.stochastic_gradient.SGDRegressor(1)_early_stoppingfalse
sklearn.linear_model.stochastic_gradient.SGDRegressor(1)_epsilon0.1
sklearn.linear_model.stochastic_gradient.SGDRegressor(1)_eta00.002121430923343301
sklearn.linear_model.stochastic_gradient.SGDRegressor(1)_fit_intercepttrue
sklearn.linear_model.stochastic_gradient.SGDRegressor(1)_l1_ratio0.3
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_iter1000
sklearn.linear_model.stochastic_gradient.SGDRegressor(1)_n_iter_no_change5
sklearn.linear_model.stochastic_gradient.SGDRegressor(1)_penalty"l2"
sklearn.linear_model.stochastic_gradient.SGDRegressor(1)_power_t0.42747234912129417
sklearn.linear_model.stochastic_gradient.SGDRegressor(1)_random_state57685
sklearn.linear_model.stochastic_gradient.SGDRegressor(1)_shuffletrue
sklearn.linear_model.stochastic_gradient.SGDRegressor(1)_tol0.003611637702524006
sklearn.linear_model.stochastic_gradient.SGDRegressor(1)_validation_fraction0.1
sklearn.linear_model.stochastic_gradient.SGDRegressor(1)_verbose0
sklearn.linear_model.stochastic_gradient.SGDRegressor(1)_warm_startfalse

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

7 Evaluation measures

Mean absolute error
13052417797042 ± 6388390277553.5
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
13.4607 ± 0.6829
Cross-validation details (10-fold Crossvalidation)
Number of instances
1030
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
969671579014.22 ± 484400837301.47
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
16.6976 ± 0.6774
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
14697181975778 ± 6172398969645.6
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
880195669424.93 ± 371708210091.16
Cross-validation details (10-fold Crossvalidation)