Run
6040446

Run 6040446

Task 3950 (Supervised Classification) musk 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]
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]
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)_C0.610318817239367
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)_gamma0.00013752316891891574
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_state27069
sklearn.svm.classes.SVC(8)_shrinkingtrue
sklearn.svm.classes.SVC(8)_tol0.0001320893068405686
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

0.816 ± 0.0152
Per class
Cross-validation details (10-fold Crossvalidation)
0.8917 ± 0.008
Per class
Cross-validation details (10-fold Crossvalidation)
0.5374 ± 0.0362
Cross-validation details (10-fold Crossvalidation)
2515.5055 ± 14.5108
Cross-validation details (10-fold Crossvalidation)
0.166 ± 0.0045
Cross-validation details (10-fold Crossvalidation)
0.2608 ± 0.0005
Cross-validation details (10-fold Crossvalidation)
6598
Per class
Cross-validation details (10-fold Crossvalidation)
0.9175 ± 0.0044
Per class
Cross-validation details (10-fold Crossvalidation)
0.9086 ± 0.0054
Cross-validation details (10-fold Crossvalidation)
0.6204
Cross-validation details (10-fold Crossvalidation)
0.9086 ± 0.0054
Per class
Cross-validation details (10-fold Crossvalidation)
0.6365 ± 0.0168
Cross-validation details (10-fold Crossvalidation)
0.3611 ± 0.0006
Cross-validation details (10-fold Crossvalidation)
0.2823 ± 0.0072
Cross-validation details (10-fold Crossvalidation)
0.7817 ± 0.0197
Cross-validation details (10-fold Crossvalidation)