Run
6256543

Run 6256543

Task 3512 (Supervised Classification) synthetic_control Uploaded 28-08-2017 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[]
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)_sparsetrue
sklearn.feature_selection.variance_threshold.VarianceThreshold(4)_threshold0.0
sklearn.svm.classes.SVC(8)_C26836.790450103304
sklearn.svm.classes.SVC(8)_cache_size200
sklearn.svm.classes.SVC(8)_class_weightnull
sklearn.svm.classes.SVC(8)_coef0-0.33861369637650895
sklearn.svm.classes.SVC(8)_decision_function_shapenull
sklearn.svm.classes.SVC(8)_degree1
sklearn.svm.classes.SVC(8)_gamma3.124460559693301
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_state32083
sklearn.svm.classes.SVC(8)_shrinkingfalse
sklearn.svm.classes.SVC(8)_tol4.4928404355976004e-05
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

0.9997 ± 0.0005
Per class
Cross-validation details (10-fold Crossvalidation)
0.9867 ± 0.0173
Per class
Cross-validation details (10-fold Crossvalidation)
0.984 ± 0.0207
Cross-validation details (10-fold Crossvalidation)
574.6369 ± 0.7895
Cross-validation details (10-fold Crossvalidation)
0.0209 ± 0.0056
Cross-validation details (10-fold Crossvalidation)
0.2778
Cross-validation details (10-fold Crossvalidation)
600
Per class
Cross-validation details (10-fold Crossvalidation)
0.9867 ± 0.0155
Per class
Cross-validation details (10-fold Crossvalidation)
0.9867 ± 0.0172
Cross-validation details (10-fold Crossvalidation)
2.585
Cross-validation details (10-fold Crossvalidation)
0.9867 ± 0.0172
Per class
Cross-validation details (10-fold Crossvalidation)
0.0751 ± 0.02
Cross-validation details (10-fold Crossvalidation)
0.3727
Cross-validation details (10-fold Crossvalidation)
0.0666 ± 0.0205
Cross-validation details (10-fold Crossvalidation)
0.1788 ± 0.055
Cross-validation details (10-fold Crossvalidation)