Run
6042795

Run 6042795

Task 3950 (Supervised Classification) musk Uploaded 22-07-2017 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)_C0.05614816495052226
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)_gamma0.8574222351195039
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_state50742
sklearn.svm.classes.SVC(8)_shrinkingtrue
sklearn.svm.classes.SVC(8)_tol0.0015558120609452915
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

0.5936 ± 0.0158
Per class
Cross-validation details (10-fold Crossvalidation)
0.7817 ± 0.0031
Per class
Cross-validation details (10-fold Crossvalidation)
0.0296 ± 0.0184
Cross-validation details (10-fold Crossvalidation)
50.1927 ± 4.8905
Cross-validation details (10-fold Crossvalidation)
0.2562 ± 0.0016
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)
0.8716 ± 0.0009
Per class
Cross-validation details (10-fold Crossvalidation)
0.8486 ± 0.0014
Cross-validation details (10-fold Crossvalidation)
0.6204
Cross-validation details (10-fold Crossvalidation)
0.8486 ± 0.0014
Per class
Cross-validation details (10-fold Crossvalidation)
0.9821 ± 0.0071
Cross-validation details (10-fold Crossvalidation)
0.3611 ± 0.0006
Cross-validation details (10-fold Crossvalidation)
0.3566 ± 0.0014
Cross-validation details (10-fold Crossvalidation)
0.9875 ± 0.0052
Cross-validation details (10-fold Crossvalidation)