Run
10417340

Run 10417340

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)_alpha6.05512054788175e-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)_eta00.1
sklearn.linear_model.stochastic_gradient.SGDRegressor(1)_fit_intercepttrue
sklearn.linear_model.stochastic_gradient.SGDRegressor(1)_l1_ratio0.20617114153225002
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_t0.2
sklearn.linear_model.stochastic_gradient.SGDRegressor(1)_random_state21054
sklearn.linear_model.stochastic_gradient.SGDRegressor(1)_shuffletrue
sklearn.linear_model.stochastic_gradient.SGDRegressor(1)_tol0.01987226438293142
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
1.0223427247858E+16 ± 4.6608642015717E+15
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
7.5950425404052E+14 ± 3.420667288808E+14
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
1.1396894873002E+16 ± 4.5592834867648E+15
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
6.8254564233062E+14 ± 2.704627628999E+14
Cross-validation details (10-fold Crossvalidation)