Run
5964670

Run 5964670

Task 3561 (Supervised Classification) profb Uploaded 15-07-2017 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.svm.classes.SVC)(1)Automatically created scikit-learn flow.
openmlstudy14.preprocessing.ConditionalImputer(2)_axis0
openmlstudy14.preprocessing.ConditionalImputer(2)_categorical_features[3, 4, 7, 8]
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[3, 4, 7, 8]
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.svm.classes.SVC(8)_C1.9573525716473705
sklearn.svm.classes.SVC(8)_cache_size200
sklearn.svm.classes.SVC(8)_class_weightnull
sklearn.svm.classes.SVC(8)_coef0-0.7403579300079388
sklearn.svm.classes.SVC(8)_decision_function_shapenull
sklearn.svm.classes.SVC(8)_degree4
sklearn.svm.classes.SVC(8)_gamma0.002655267368270521
sklearn.svm.classes.SVC(8)_kernel"poly"
sklearn.svm.classes.SVC(8)_max_iter-1
sklearn.svm.classes.SVC(8)_probabilitytrue
sklearn.svm.classes.SVC(8)_random_state10729
sklearn.svm.classes.SVC(8)_shrinkingtrue
sklearn.svm.classes.SVC(8)_tol0.02790825725916539
sklearn.svm.classes.SVC(8)_verbosefalse

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

0.6792 ± 0.0695
Per class
Cross-validation details (10-fold Crossvalidation)
0.6353 ± 0.0436
Per class
Cross-validation details (10-fold Crossvalidation)
0.1616 ± 0.107
Cross-validation details (10-fold Crossvalidation)
65.9582 ± 3.8799
Cross-validation details (10-fold Crossvalidation)
0.3996 ± 0.0197
Cross-validation details (10-fold Crossvalidation)
0.4446 ± 0.0022
Cross-validation details (10-fold Crossvalidation)
672
Per class
Cross-validation details (10-fold Crossvalidation)
0.6602 ± 0.0683
Per class
Cross-validation details (10-fold Crossvalidation)
0.686 ± 0.0361
Cross-validation details (10-fold Crossvalidation)
0.9188
Cross-validation details (10-fold Crossvalidation)
0.686 ± 0.0361
Per class
Cross-validation details (10-fold Crossvalidation)
0.8988 ± 0.047
Cross-validation details (10-fold Crossvalidation)
0.4714 ± 0.0023
Cross-validation details (10-fold Crossvalidation)
0.4549 ± 0.0153
Cross-validation details (10-fold Crossvalidation)
0.965 ± 0.0353
Cross-validation details (10-fold Crossvalidation)