Run
9202337

Run 9202337

Task 167141 (Supervised Classification) churn Uploaded 30-05-2018 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,scaling=sklea rn.preprocessing.data.StandardScaler,variencethreshold=sklearn.feature_sele ction.variance_threshold.VarianceThreshold,classifier=sklearn.svm.classes.S VC)(2)Automatically created scikit-learn flow.
openmlstudy14.preprocessing.ConditionalImputer(5)_axis0
openmlstudy14.preprocessing.ConditionalImputer(5)_categorical_features[2, 4, 5, 19]
openmlstudy14.preprocessing.ConditionalImputer(5)_copytrue
openmlstudy14.preprocessing.ConditionalImputer(5)_fill_empty0
openmlstudy14.preprocessing.ConditionalImputer(5)_missing_values"NaN"
openmlstudy14.preprocessing.ConditionalImputer(5)_strategy"mean"
openmlstudy14.preprocessing.ConditionalImputer(5)_strategy_nominal"most_frequent"
openmlstudy14.preprocessing.ConditionalImputer(5)_verbose0
sklearn.preprocessing.data.OneHotEncoder(9)_categorical_features[2, 4, 5, 19]
sklearn.preprocessing.data.OneHotEncoder(9)_dtype{"oml-python:serialized_object": "type", "value": "np.float64"}
sklearn.preprocessing.data.OneHotEncoder(9)_handle_unknown"ignore"
sklearn.preprocessing.data.OneHotEncoder(9)_n_values"auto"
sklearn.preprocessing.data.OneHotEncoder(9)_sparsetrue
sklearn.feature_selection.variance_threshold.VarianceThreshold(7)_threshold0.0
sklearn.svm.classes.SVC(11)_C547.0836590063223
sklearn.svm.classes.SVC(11)_cache_size200
sklearn.svm.classes.SVC(11)_class_weightnull
sklearn.svm.classes.SVC(11)_coef00.7039368935060544
sklearn.svm.classes.SVC(11)_decision_function_shapenull
sklearn.svm.classes.SVC(11)_degree3
sklearn.svm.classes.SVC(11)_gamma0.003970623713474363
sklearn.svm.classes.SVC(11)_kernel"poly"
sklearn.svm.classes.SVC(11)_max_iter-1
sklearn.svm.classes.SVC(11)_probabilitytrue
sklearn.svm.classes.SVC(11)_random_state35863
sklearn.svm.classes.SVC(11)_shrinkingfalse
sklearn.svm.classes.SVC(11)_tol4.655815153829841e-05
sklearn.svm.classes.SVC(11)_verbosefalse
sklearn.preprocessing.data.StandardScaler(7)_copytrue
sklearn.preprocessing.data.StandardScaler(7)_with_meanfalse
sklearn.preprocessing.data.StandardScaler(7)_with_stdtrue

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

0.9067 ± 0.0219
Per class
Cross-validation details (10-fold Crossvalidation)
0.9228 ± 0.0059
Per class
Cross-validation details (10-fold Crossvalidation)
0.6609 ± 0.0294
Cross-validation details (10-fold Crossvalidation)
2308.7882 ± 18.4509
Cross-validation details (10-fold Crossvalidation)
0.1201 ± 0.0063
Cross-validation details (10-fold Crossvalidation)
0.2429 ± 0.0007
Cross-validation details (10-fold Crossvalidation)
5000
Per class
Cross-validation details (10-fold Crossvalidation)
0.9253 ± 0.0051
Per class
Cross-validation details (10-fold Crossvalidation)
0.9286 ± 0.0046
Cross-validation details (10-fold Crossvalidation)
0.5883
Cross-validation details (10-fold Crossvalidation)
0.9286 ± 0.0046
Per class
Cross-validation details (10-fold Crossvalidation)
0.4944 ± 0.0259
Cross-validation details (10-fold Crossvalidation)
0.3484 ± 0.001
Cross-validation details (10-fold Crossvalidation)
0.2363 ± 0.0099
Cross-validation details (10-fold Crossvalidation)
0.6781 ± 0.0289
Cross-validation details (10-fold Crossvalidation)