Run
4715624

Run 4715624

Task 29 (Supervised Classification) credit-approval 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[0, 3, 4, 5, 6, 8, 9, 11, 12]
openmlstudy14.preprocessing.ConditionalImputer(2)_copytrue
openmlstudy14.preprocessing.ConditionalImputer(2)_fill_empty0
openmlstudy14.preprocessing.ConditionalImputer(2)_missing_values"NaN"
openmlstudy14.preprocessing.ConditionalImputer(2)_strategy"mean"
openmlstudy14.preprocessing.ConditionalImputer(2)_strategy_nominal"most_frequent"
openmlstudy14.preprocessing.ConditionalImputer(2)_verbose0
sklearn.preprocessing.data.OneHotEncoder(7)_categorical_features[0, 3, 4, 5, 6, 8, 9, 11, 12]
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)_alpha0.00026039866281682157
sklearn.linear_model.stochastic_gradient.SGDClassifier(2)_averagetrue
sklearn.linear_model.stochastic_gradient.SGDClassifier(2)_class_weightnull
sklearn.linear_model.stochastic_gradient.SGDClassifier(2)_epsilon0.1
sklearn.linear_model.stochastic_gradient.SGDClassifier(2)_eta00.026731586386278244
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"log"
sklearn.linear_model.stochastic_gradient.SGDClassifier(2)_n_iter647
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_state19122
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
0.6906 ± 0.0426
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6878 ± 0.0396
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3763 ± 0.0804
Cross-validation details (10-fold Crossvalidation)
KB relative information score
250.3504 ± 5.4537
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.313 ± 0.0394
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.494 ± 0.0008
Cross-validation details (10-fold Crossvalidation)
Number of instances
690
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.6959 ± 0.043
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.687 ± 0.0394
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9913
Cross-validation details (10-fold Crossvalidation)
Recall
0.687 ± 0.0394
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6338 ± 0.0792
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.497 ± 0.0008
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5595 ± 0.0355
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.1259 ± 0.0705
Cross-validation details (10-fold Crossvalidation)