Run
4715991

Run 4715991

Task 9964 (Supervised Classification) semeion 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"most_frequent"
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)_alpha3.4669959943202395e-06
sklearn.linear_model.stochastic_gradient.SGDClassifier(2)_averagefalse
sklearn.linear_model.stochastic_gradient.SGDClassifier(2)_class_weightnull
sklearn.linear_model.stochastic_gradient.SGDClassifier(2)_epsilon1.1846320767479435e-05
sklearn.linear_model.stochastic_gradient.SGDClassifier(2)_eta00.012759440321477546
sklearn.linear_model.stochastic_gradient.SGDClassifier(2)_fit_intercepttrue
sklearn.linear_model.stochastic_gradient.SGDClassifier(2)_l1_ratio8.318084106507652e-08
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_iter103
sklearn.linear_model.stochastic_gradient.SGDClassifier(2)_n_jobs1
sklearn.linear_model.stochastic_gradient.SGDClassifier(2)_penalty"elasticnet"
sklearn.linear_model.stochastic_gradient.SGDClassifier(2)_power_t0.5
sklearn.linear_model.stochastic_gradient.SGDClassifier(2)_random_state12303
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
0.9682 ± 0.0122
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8347 ± 0.0282
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8019 ± 0.0301
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1308.4471 ± 3.6726
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0354 ± 0.0049
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.18 ± 0
Cross-validation details (10-fold Crossvalidation)
Number of instances
1593
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8799 ± 0.027
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8217 ± 0.0271
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3218
Cross-validation details (10-fold Crossvalidation)
Recall
0.8217 ± 0.0271
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1968 ± 0.0274
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.146 ± 0.0141
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4868 ± 0.0472
Cross-validation details (10-fold Crossvalidation)