Run
8976768

Run 8976768

Task 3549 (Supervised Classification) analcatdata_authorship Uploaded 08-04-2018 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,scaling=sklea rn.preprocessing.data.StandardScaler,variencethreshold=sklearn.feature_sele ction.variance_threshold.VarianceThreshold,classifier=sklearn.svm.classes.S VC)(2)Automatically created scikit-learn flow.
openmlstudy14.preprocessing.ConditionalImputer(5)_axis0
openmlstudy14.preprocessing.ConditionalImputer(5)_categorical_features[]
openmlstudy14.preprocessing.ConditionalImputer(5)_copytrue
openmlstudy14.preprocessing.ConditionalImputer(5)_fill_empty0
openmlstudy14.preprocessing.ConditionalImputer(5)_missing_values"NaN"
openmlstudy14.preprocessing.ConditionalImputer(5)_strategy"median"
openmlstudy14.preprocessing.ConditionalImputer(5)_strategy_nominal"most_frequent"
openmlstudy14.preprocessing.ConditionalImputer(5)_verbose0
sklearn.preprocessing.data.OneHotEncoder(9)_categorical_features[]
sklearn.preprocessing.data.OneHotEncoder(9)_dtype{"oml-python:serialized_object": "type", "value": "np.float64"}
sklearn.preprocessing.data.OneHotEncoder(9)_handle_unknown"ignore"
sklearn.preprocessing.data.OneHotEncoder(9)_n_values"auto"
sklearn.preprocessing.data.OneHotEncoder(9)_sparsetrue
sklearn.feature_selection.variance_threshold.VarianceThreshold(7)_threshold0.0
sklearn.svm.classes.SVC(11)_C0.06937694748220222
sklearn.svm.classes.SVC(11)_cache_size200
sklearn.svm.classes.SVC(11)_class_weightnull
sklearn.svm.classes.SVC(11)_coef00.8863102424524667
sklearn.svm.classes.SVC(11)_decision_function_shapenull
sklearn.svm.classes.SVC(11)_degree3
sklearn.svm.classes.SVC(11)_gamma0.08617709182743398
sklearn.svm.classes.SVC(11)_kernel"rbf"
sklearn.svm.classes.SVC(11)_max_iter-1
sklearn.svm.classes.SVC(11)_probabilitytrue
sklearn.svm.classes.SVC(11)_random_state33413
sklearn.svm.classes.SVC(11)_shrinkingfalse
sklearn.svm.classes.SVC(11)_tol0.00013757339219544297
sklearn.svm.classes.SVC(11)_verbosefalse
sklearn.preprocessing.data.StandardScaler(7)_copytrue
sklearn.preprocessing.data.StandardScaler(7)_with_meanfalse
sklearn.preprocessing.data.StandardScaler(7)_with_stdtrue

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

0.9986 ± 0.0029
Per class
Cross-validation details (10-fold Crossvalidation)
0.9714 ± 0.0199
Per class
Cross-validation details (10-fold Crossvalidation)
0.9584 ± 0.0285
Cross-validation details (10-fold Crossvalidation)
691.4717 ± 2.1044
Cross-validation details (10-fold Crossvalidation)
0.0805 ± 0.0114
Cross-validation details (10-fold Crossvalidation)
0.3439 ± 0.0013
Cross-validation details (10-fold Crossvalidation)
841
Per class
Cross-validation details (10-fold Crossvalidation)
0.9728 ± 0.0171
Per class
Cross-validation details (10-fold Crossvalidation)
0.9715 ± 0.0196
Cross-validation details (10-fold Crossvalidation)
1.7898
Cross-validation details (10-fold Crossvalidation)
0.9715 ± 0.0196
Per class
Cross-validation details (10-fold Crossvalidation)
0.234 ± 0.0331
Cross-validation details (10-fold Crossvalidation)
0.4146 ± 0.0015
Cross-validation details (10-fold Crossvalidation)
0.1588 ± 0.0157
Cross-validation details (10-fold Crossvalidation)
0.383 ± 0.0377
Cross-validation details (10-fold Crossvalidation)