Run
8808202

Run 8808202

Task 14967 (Supervised Classification) cjs Uploaded 22-01-2018 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • openml-pimp openml-python Sklearn_0.18.1. study_71
Issue #Downvotes for this reason By


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)_C0.13223643517296038
sklearn.svm.classes.SVC(17)_cache_size200
sklearn.svm.classes.SVC(17)_class_weightnull
sklearn.svm.classes.SVC(17)_coef00.29476944296817376
sklearn.svm.classes.SVC(17)_decision_function_shapenull
sklearn.svm.classes.SVC(17)_degree3
sklearn.svm.classes.SVC(17)_gamma0.024137075517555832
sklearn.svm.classes.SVC(17)_kernel"poly"
sklearn.svm.classes.SVC(17)_max_iter-1
sklearn.svm.classes.SVC(17)_probabilitytrue
sklearn.svm.classes.SVC(17)_random_state19664
sklearn.svm.classes.SVC(17)_shrinkingtrue
sklearn.svm.classes.SVC(17)_tol4.537971528596076e-05
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

0.9996 ± 0.0013
Per class
Cross-validation details (10-fold Crossvalidation)
0.9989 ± 0.0017
Per class
Cross-validation details (10-fold Crossvalidation)
0.9987 ± 0.0021
Cross-validation details (10-fold Crossvalidation)
2772.8569 ± 2.003
Cross-validation details (10-fold Crossvalidation)
0.0043 ± 0.0032
Cross-validation details (10-fold Crossvalidation)
0.2729 ± 0
Cross-validation details (10-fold Crossvalidation)
2796
Per class
Cross-validation details (10-fold Crossvalidation)
0.9989 ± 0.0017
Per class
Cross-validation details (10-fold Crossvalidation)
0.9989 ± 0.0017
Cross-validation details (10-fold Crossvalidation)
2.5207
Cross-validation details (10-fold Crossvalidation)
0.9989 ± 0.0017
Per class
Cross-validation details (10-fold Crossvalidation)
0.0159 ± 0.0116
Cross-validation details (10-fold Crossvalidation)
0.3694 ± 0
Cross-validation details (10-fold Crossvalidation)
0.0208 ± 0.0131
Cross-validation details (10-fold Crossvalidation)
0.0563 ± 0.0355
Cross-validation details (10-fold Crossvalidation)