Run
4715663

Run 4715663

Task 9967 (Supervised Classification) steel-plates-fault Uploaded 07-07-2017 by Jan van Rijn
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  • openml-pimp openml-python Sklearn_0.18.1.
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Flow

sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.Conditiona lImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethres hold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classif ier=sklearn.linear_model.stochastic_gradient.SGDClassifier)(1)Automatically created scikit-learn flow.
openmlstudy14.preprocessing.ConditionalImputer(2)_axis0
openmlstudy14.preprocessing.ConditionalImputer(2)_categorical_features[]
openmlstudy14.preprocessing.ConditionalImputer(2)_copytrue
openmlstudy14.preprocessing.ConditionalImputer(2)_fill_empty0
openmlstudy14.preprocessing.ConditionalImputer(2)_missing_values"NaN"
openmlstudy14.preprocessing.ConditionalImputer(2)_strategy"median"
openmlstudy14.preprocessing.ConditionalImputer(2)_strategy_nominal"most_frequent"
openmlstudy14.preprocessing.ConditionalImputer(2)_verbose0
sklearn.preprocessing.data.OneHotEncoder(7)_categorical_features[]
sklearn.preprocessing.data.OneHotEncoder(7)_dtype{"oml-python:serialized_object": "type", "value": "np.float64"}
sklearn.preprocessing.data.OneHotEncoder(7)_handle_unknown"ignore"
sklearn.preprocessing.data.OneHotEncoder(7)_n_values"auto"
sklearn.preprocessing.data.OneHotEncoder(7)_sparsefalse
sklearn.feature_selection.variance_threshold.VarianceThreshold(4)_threshold0.0
sklearn.linear_model.stochastic_gradient.SGDClassifier(2)_alpha0.0005282491870741123
sklearn.linear_model.stochastic_gradient.SGDClassifier(2)_averagefalse
sklearn.linear_model.stochastic_gradient.SGDClassifier(2)_class_weightnull
sklearn.linear_model.stochastic_gradient.SGDClassifier(2)_epsilon0.0006372936454244424
sklearn.linear_model.stochastic_gradient.SGDClassifier(2)_eta00.08705021290901549
sklearn.linear_model.stochastic_gradient.SGDClassifier(2)_fit_intercepttrue
sklearn.linear_model.stochastic_gradient.SGDClassifier(2)_l1_ratio0.15
sklearn.linear_model.stochastic_gradient.SGDClassifier(2)_learning_rate"optimal"
sklearn.linear_model.stochastic_gradient.SGDClassifier(2)_loss"modified_huber"
sklearn.linear_model.stochastic_gradient.SGDClassifier(2)_n_iter558
sklearn.linear_model.stochastic_gradient.SGDClassifier(2)_n_jobs1
sklearn.linear_model.stochastic_gradient.SGDClassifier(2)_penalty"l1"
sklearn.linear_model.stochastic_gradient.SGDClassifier(2)_power_t0.5
sklearn.linear_model.stochastic_gradient.SGDClassifier(2)_random_state50589
sklearn.linear_model.stochastic_gradient.SGDClassifier(2)_shuffletrue
sklearn.linear_model.stochastic_gradient.SGDClassifier(2)_verbose0
sklearn.linear_model.stochastic_gradient.SGDClassifier(2)_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.

17 Evaluation measures

Area under ROC curve
0.5702 ± 0.0556
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6204 ± 0.0561
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1471 ± 0.1049
Cross-validation details (10-fold Crossvalidation)
KB relative information score
293.7695 ± 21.7303
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3689 ± 0.049
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4531 ± 0.0007
Cross-validation details (10-fold Crossvalidation)
Number of instances
1941
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.6152 ± 0.0632
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6311 ± 0.049
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9313
Cross-validation details (10-fold Crossvalidation)
Recall
0.6311 ± 0.049
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8142 ± 0.1076
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4759 ± 0.0007
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.6074 ± 0.0394
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.2762 ± 0.0823
Cross-validation details (10-fold Crossvalidation)