Run
9016165

Run 9016165

Task 146818 (Supervised Classification) Australian Uploaded 10-04-2018 by Hilde Weerts
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  • openml-python Sklearn_0.19.1. study_98
Issue #Downvotes for this reason By


Flow

sklearn.pipeline.Pipeline(imputation=hyperimp.utils.preprocessing.Condition alImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,scaling=skle arn.preprocessing.data.StandardScaler,variencethreshold=sklearn.feature_sel ection.variance_threshold.VarianceThreshold,clf=sklearn.svm.classes.SVC)(1)Automatically created scikit-learn flow.
sklearn.preprocessing.data.OneHotEncoder(17)_categorical_features[0, 3, 4, 5, 7, 8, 10, 11]
sklearn.preprocessing.data.OneHotEncoder(17)_dtype{"oml-python:serialized_object": "type", "value": "np.float64"}
sklearn.preprocessing.data.OneHotEncoder(17)_handle_unknown"ignore"
sklearn.preprocessing.data.OneHotEncoder(17)_n_values"auto"
sklearn.preprocessing.data.OneHotEncoder(17)_sparsetrue
sklearn.feature_selection.variance_threshold.VarianceThreshold(11)_threshold0.0
sklearn.preprocessing.data.StandardScaler(5)_copytrue
sklearn.preprocessing.data.StandardScaler(5)_with_meanfalse
sklearn.preprocessing.data.StandardScaler(5)_with_stdtrue
sklearn.svm.classes.SVC(16)_C505.7535207975783
sklearn.svm.classes.SVC(16)_cache_size200
sklearn.svm.classes.SVC(16)_class_weightnull
sklearn.svm.classes.SVC(16)_coef00.6991145323949459
sklearn.svm.classes.SVC(16)_decision_function_shape"ovr"
sklearn.svm.classes.SVC(16)_degree3
sklearn.svm.classes.SVC(16)_gamma0.18738294870695826
sklearn.svm.classes.SVC(16)_kernel"rbf"
sklearn.svm.classes.SVC(16)_max_iter-1
sklearn.svm.classes.SVC(16)_probabilityfalse
sklearn.svm.classes.SVC(16)_random_state1
sklearn.svm.classes.SVC(16)_shrinkingtrue
sklearn.svm.classes.SVC(16)_tol0.006258325243705754
sklearn.svm.classes.SVC(16)_verbosefalse
hyperimp.utils.preprocessing.ConditionalImputer(1)_axis0
hyperimp.utils.preprocessing.ConditionalImputer(1)_categorical_features[0, 3, 4, 5, 7, 8, 10, 11]
hyperimp.utils.preprocessing.ConditionalImputer(1)_copytrue
hyperimp.utils.preprocessing.ConditionalImputer(1)_fill_empty0
hyperimp.utils.preprocessing.ConditionalImputer(1)_missing_values"NaN"
hyperimp.utils.preprocessing.ConditionalImputer(1)_strategy"mean"
hyperimp.utils.preprocessing.ConditionalImputer(1)_strategy_nominal"most_frequent"
hyperimp.utils.preprocessing.ConditionalImputer(1)_verbose0
sklearn.pipeline.Pipeline(imputation=hyperimp.utils.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,scaling=sklearn.preprocessing.data.StandardScaler,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,clf=sklearn.svm.classes.SVC)(1)_memorynull

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

0.7901 ± 0.0502
Per class
Cross-validation details (10-fold Crossvalidation)
0.7983 ± 0.0487
Per class
Cross-validation details (10-fold Crossvalidation)
0.5907 ± 0.0965
Cross-validation details (10-fold Crossvalidation)
411.1353 ± 6.2455
Cross-validation details (10-fold Crossvalidation)
0.1986 ± 0.0443
Cross-validation details (10-fold Crossvalidation)
0.494 ± 0.0008
Cross-validation details (10-fold Crossvalidation)
690
Per class
Cross-validation details (10-fold Crossvalidation)
0.806 ± 0.0388
Per class
Cross-validation details (10-fold Crossvalidation)
0.8014 ± 0.0443
Cross-validation details (10-fold Crossvalidation)
0.9913
Cross-validation details (10-fold Crossvalidation)
0.8014 ± 0.0443
Per class
Cross-validation details (10-fold Crossvalidation)
0.402 ± 0.0898
Cross-validation details (10-fold Crossvalidation)
0.497 ± 0.0008
Cross-validation details (10-fold Crossvalidation)
0.4456 ± 0.05
Cross-validation details (10-fold Crossvalidation)
0.8966 ± 0.1009
Cross-validation details (10-fold Crossvalidation)