Run
6040560

Run 6040560

Task 14967 (Supervised Classification) cjs Uploaded 21-07-2017 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[0, 1]
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[0, 1]
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)_C0.43982930193098024
sklearn.svm.classes.SVC(8)_cache_size200
sklearn.svm.classes.SVC(8)_class_weightnull
sklearn.svm.classes.SVC(8)_coef0-0.9793781889743738
sklearn.svm.classes.SVC(8)_decision_function_shapenull
sklearn.svm.classes.SVC(8)_degree1
sklearn.svm.classes.SVC(8)_gamma0.007937313756113477
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_state55933
sklearn.svm.classes.SVC(8)_shrinkingfalse
sklearn.svm.classes.SVC(8)_tol0.03334927853686941
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

0.9293 ± 0.0098
Per class
Cross-validation details (10-fold Crossvalidation)
0.7407 ± 0.022
Per class
Cross-validation details (10-fold Crossvalidation)
0.697 ± 0.0226
Cross-validation details (10-fold Crossvalidation)
1245.557 ± 4.6898
Cross-validation details (10-fold Crossvalidation)
0.194 ± 0.0044
Cross-validation details (10-fold Crossvalidation)
0.2729 ± 0
Cross-validation details (10-fold Crossvalidation)
2796
Per class
Cross-validation details (10-fold Crossvalidation)
0.7403 ± 0.0225
Per class
Cross-validation details (10-fold Crossvalidation)
0.7543 ± 0.018
Cross-validation details (10-fold Crossvalidation)
2.5207
Cross-validation details (10-fold Crossvalidation)
0.7543 ± 0.018
Per class
Cross-validation details (10-fold Crossvalidation)
0.7109 ± 0.016
Cross-validation details (10-fold Crossvalidation)
0.3694 ± 0
Cross-validation details (10-fold Crossvalidation)
0.2838 ± 0.0054
Cross-validation details (10-fold Crossvalidation)
0.7684 ± 0.0146
Cross-validation details (10-fold Crossvalidation)