Run
8990448

Run 8990448

Task 2074 (Supervised Classification) satimage Uploaded 08-04-2018 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,scaling=sklea rn.preprocessing.data.StandardScaler,variencethreshold=sklearn.feature_sele ction.variance_threshold.VarianceThreshold,classifier=sklearn.svm.classes.S VC)(2)Automatically created scikit-learn flow.
openmlstudy14.preprocessing.ConditionalImputer(5)_axis0
openmlstudy14.preprocessing.ConditionalImputer(5)_categorical_features[]
openmlstudy14.preprocessing.ConditionalImputer(5)_copytrue
openmlstudy14.preprocessing.ConditionalImputer(5)_fill_empty0
openmlstudy14.preprocessing.ConditionalImputer(5)_missing_values"NaN"
openmlstudy14.preprocessing.ConditionalImputer(5)_strategy"mean"
openmlstudy14.preprocessing.ConditionalImputer(5)_strategy_nominal"most_frequent"
openmlstudy14.preprocessing.ConditionalImputer(5)_verbose0
sklearn.preprocessing.data.OneHotEncoder(9)_categorical_features[]
sklearn.preprocessing.data.OneHotEncoder(9)_dtype{"oml-python:serialized_object": "type", "value": "np.float64"}
sklearn.preprocessing.data.OneHotEncoder(9)_handle_unknown"ignore"
sklearn.preprocessing.data.OneHotEncoder(9)_n_values"auto"
sklearn.preprocessing.data.OneHotEncoder(9)_sparsetrue
sklearn.feature_selection.variance_threshold.VarianceThreshold(7)_threshold0.0
sklearn.svm.classes.SVC(11)_C7719.484540112413
sklearn.svm.classes.SVC(11)_cache_size200
sklearn.svm.classes.SVC(11)_class_weightnull
sklearn.svm.classes.SVC(11)_coef00.4848353096535185
sklearn.svm.classes.SVC(11)_decision_function_shapenull
sklearn.svm.classes.SVC(11)_degree4
sklearn.svm.classes.SVC(11)_gamma0.03440027228615678
sklearn.svm.classes.SVC(11)_kernel"rbf"
sklearn.svm.classes.SVC(11)_max_iter-1
sklearn.svm.classes.SVC(11)_probabilitytrue
sklearn.svm.classes.SVC(11)_random_state17118
sklearn.svm.classes.SVC(11)_shrinkingtrue
sklearn.svm.classes.SVC(11)_tol0.023731630495066824
sklearn.svm.classes.SVC(11)_verbosefalse
sklearn.preprocessing.data.StandardScaler(7)_copytrue
sklearn.preprocessing.data.StandardScaler(7)_with_meanfalse
sklearn.preprocessing.data.StandardScaler(7)_with_stdtrue

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

0.9903 ± 0.0013
Per class
Cross-validation details (10-fold Crossvalidation)
0.9085 ± 0.0123
Per class
Cross-validation details (10-fold Crossvalidation)
0.8897 ± 0.014
Cross-validation details (10-fold Crossvalidation)
5622.5171 ± 4.2813
Cross-validation details (10-fold Crossvalidation)
0.0471 ± 0.0019
Cross-validation details (10-fold Crossvalidation)
0.2701 ± 0
Cross-validation details (10-fold Crossvalidation)
6430
Per class
Cross-validation details (10-fold Crossvalidation)
0.9084 ± 0.0122
Per class
Cross-validation details (10-fold Crossvalidation)
0.9109 ± 0.0113
Cross-validation details (10-fold Crossvalidation)
2.4836
Cross-validation details (10-fold Crossvalidation)
0.9109 ± 0.0113
Per class
Cross-validation details (10-fold Crossvalidation)
0.1742 ± 0.0071
Cross-validation details (10-fold Crossvalidation)
0.3675 ± 0
Cross-validation details (10-fold Crossvalidation)
0.1478 ± 0.0063
Cross-validation details (10-fold Crossvalidation)
0.4021 ± 0.0171
Cross-validation details (10-fold Crossvalidation)