Run
6179380

Run 6179380

Task 146606 (Supervised Classification) higgs Uploaded 27-08-2017 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"median"
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)_C123.92053195012126
sklearn.svm.classes.SVC(8)_cache_size200
sklearn.svm.classes.SVC(8)_class_weightnull
sklearn.svm.classes.SVC(8)_coef00.0
sklearn.svm.classes.SVC(8)_decision_function_shapenull
sklearn.svm.classes.SVC(8)_degree3
sklearn.svm.classes.SVC(8)_gamma0.0011598467590490673
sklearn.svm.classes.SVC(8)_kernel"rbf"
sklearn.svm.classes.SVC(8)_max_iter-1
sklearn.svm.classes.SVC(8)_probabilitytrue
sklearn.svm.classes.SVC(8)_random_state6065
sklearn.svm.classes.SVC(8)_shrinkingfalse
sklearn.svm.classes.SVC(8)_tol0.0033757619878778044
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

0.7143 ± 0.0072
Per class
Cross-validation details (10-fold Crossvalidation)
0.6593 ± 0.0065
Per class
Cross-validation details (10-fold Crossvalidation)
0.3174 ± 0.0132
Cross-validation details (10-fold Crossvalidation)
15267.6914 ± 44.7963
Cross-validation details (10-fold Crossvalidation)
0.4318 ± 0.0019
Cross-validation details (10-fold Crossvalidation)
0.4984 ± 0
Cross-validation details (10-fold Crossvalidation)
98050
Per class
Cross-validation details (10-fold Crossvalidation)
0.6637 ± 0.0071
Per class
Cross-validation details (10-fold Crossvalidation)
0.6628 ± 0.0066
Cross-validation details (10-fold Crossvalidation)
0.9976
Cross-validation details (10-fold Crossvalidation)
0.6628 ± 0.0066
Per class
Cross-validation details (10-fold Crossvalidation)
0.8663 ± 0.0038
Cross-validation details (10-fold Crossvalidation)
0.4992 ± 0
Cross-validation details (10-fold Crossvalidation)
0.4636 ± 0.0024
Cross-validation details (10-fold Crossvalidation)
0.9286 ± 0.0048
Cross-validation details (10-fold Crossvalidation)