Run
8733921

Run 8733921

Task 14967 (Supervised Classification) cjs Uploaded 29-12-2017 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[0, 1]
openmlstudy14.preprocessing.ConditionalImputer(6)_copytrue
openmlstudy14.preprocessing.ConditionalImputer(6)_fill_empty0
openmlstudy14.preprocessing.ConditionalImputer(6)_missing_values"NaN"
openmlstudy14.preprocessing.ConditionalImputer(6)_strategy"most_frequent"
openmlstudy14.preprocessing.ConditionalImputer(6)_strategy_nominal"most_frequent"
openmlstudy14.preprocessing.ConditionalImputer(6)_verbose0
sklearn.preprocessing.data.OneHotEncoder(18)_categorical_features[0, 1]
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)_C3.2549270029703554
sklearn.svm.classes.SVC(17)_cache_size200
sklearn.svm.classes.SVC(17)_class_weightnull
sklearn.svm.classes.SVC(17)_coef00.24797693675397747
sklearn.svm.classes.SVC(17)_decision_function_shapenull
sklearn.svm.classes.SVC(17)_degree5
sklearn.svm.classes.SVC(17)_gamma4.1384956584348065e-05
sklearn.svm.classes.SVC(17)_kernel"rbf"
sklearn.svm.classes.SVC(17)_max_iter-1
sklearn.svm.classes.SVC(17)_probabilitytrue
sklearn.svm.classes.SVC(17)_random_state40412
sklearn.svm.classes.SVC(17)_shrinkingfalse
sklearn.svm.classes.SVC(17)_tol0.03147348039562443
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

0.9988 ± 0.0019
Per class
Cross-validation details (10-fold Crossvalidation)
0.9863 ± 0.0053
Per class
Cross-validation details (10-fold Crossvalidation)
0.983 ± 0.0066
Cross-validation details (10-fold Crossvalidation)
2734.4034 ± 1.7543
Cross-validation details (10-fold Crossvalidation)
0.0088 ± 0.0018
Cross-validation details (10-fold Crossvalidation)
0.2729 ± 0
Cross-validation details (10-fold Crossvalidation)
2796
Per class
Cross-validation details (10-fold Crossvalidation)
0.9873 ± 0.0045
Per class
Cross-validation details (10-fold Crossvalidation)
0.9861 ± 0.0055
Cross-validation details (10-fold Crossvalidation)
2.5207
Cross-validation details (10-fold Crossvalidation)
0.9861 ± 0.0055
Per class
Cross-validation details (10-fold Crossvalidation)
0.0321 ± 0.0067
Cross-validation details (10-fold Crossvalidation)
0.3694 ± 0
Cross-validation details (10-fold Crossvalidation)
0.0592 ± 0.0102
Cross-validation details (10-fold Crossvalidation)
0.1602 ± 0.0276
Cross-validation details (10-fold Crossvalidation)