Run
8831788

Run 8831788

Task 146606 (Supervised Classification) higgs Uploaded 25-01-2018 by Jan van Rijn
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  • openml-pimp openml-python Sklearn_0.18.1. study_71
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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)(1)Automatically created scikit-learn flow.
openmlstudy14.preprocessing.ConditionalImputer(6)_axis0
openmlstudy14.preprocessing.ConditionalImputer(6)_categorical_features[]
openmlstudy14.preprocessing.ConditionalImputer(6)_copytrue
openmlstudy14.preprocessing.ConditionalImputer(6)_fill_empty0
openmlstudy14.preprocessing.ConditionalImputer(6)_missing_values"NaN"
openmlstudy14.preprocessing.ConditionalImputer(6)_strategy"mean"
openmlstudy14.preprocessing.ConditionalImputer(6)_strategy_nominal"most_frequent"
openmlstudy14.preprocessing.ConditionalImputer(6)_verbose0
sklearn.preprocessing.data.OneHotEncoder(18)_categorical_features[]
sklearn.preprocessing.data.OneHotEncoder(18)_dtype{"oml-python:serialized_object": "type", "value": "np.float64"}
sklearn.preprocessing.data.OneHotEncoder(18)_handle_unknown"ignore"
sklearn.preprocessing.data.OneHotEncoder(18)_n_values"auto"
sklearn.preprocessing.data.OneHotEncoder(18)_sparsetrue
sklearn.feature_selection.variance_threshold.VarianceThreshold(12)_threshold0.0
sklearn.preprocessing.data.StandardScaler(6)_copytrue
sklearn.preprocessing.data.StandardScaler(6)_with_meanfalse
sklearn.preprocessing.data.StandardScaler(6)_with_stdtrue
sklearn.svm.classes.SVC(17)_C0.11431382595682126
sklearn.svm.classes.SVC(17)_cache_size200
sklearn.svm.classes.SVC(17)_class_weightnull
sklearn.svm.classes.SVC(17)_coef0-0.06375622251296065
sklearn.svm.classes.SVC(17)_decision_function_shapenull
sklearn.svm.classes.SVC(17)_degree2
sklearn.svm.classes.SVC(17)_gamma0.0002161059648999655
sklearn.svm.classes.SVC(17)_kernel"poly"
sklearn.svm.classes.SVC(17)_max_iter-1
sklearn.svm.classes.SVC(17)_probabilitytrue
sklearn.svm.classes.SVC(17)_random_state12661
sklearn.svm.classes.SVC(17)_shrinkingfalse
sklearn.svm.classes.SVC(17)_tol0.005577083975487967
sklearn.svm.classes.SVC(17)_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

0.5998 ± 0.0075
Per class
Cross-validation details (10-fold Crossvalidation)
0.5721 ± 0.0062
Per class
Cross-validation details (10-fold Crossvalidation)
0.1509 ± 0.013
Cross-validation details (10-fold Crossvalidation)
5080.1263 ± 35.8162
Cross-validation details (10-fold Crossvalidation)
0.4776 ± 0.0014
Cross-validation details (10-fold Crossvalidation)
0.4984 ± 0
Cross-validation details (10-fold Crossvalidation)
98050
Per class
Cross-validation details (10-fold Crossvalidation)
0.583 ± 0.0074
Per class
Cross-validation details (10-fold Crossvalidation)
0.5834 ± 0.0066
Cross-validation details (10-fold Crossvalidation)
0.9976
Cross-validation details (10-fold Crossvalidation)
0.5834 ± 0.0066
Per class
Cross-validation details (10-fold Crossvalidation)
0.9583 ± 0.0029
Cross-validation details (10-fold Crossvalidation)
0.4992 ± 0
Cross-validation details (10-fold Crossvalidation)
0.4916 ± 0.0014
Cross-validation details (10-fold Crossvalidation)
0.9848 ± 0.0028
Cross-validation details (10-fold Crossvalidation)