Run
8978764

Run 8978764

Task 125923 (Supervised Classification) Australian 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)_C20925.449605138107
sklearn.svm.classes.SVC(11)_cache_size200
sklearn.svm.classes.SVC(11)_class_weightnull
sklearn.svm.classes.SVC(11)_coef0-0.05273287731544363
sklearn.svm.classes.SVC(11)_decision_function_shapenull
sklearn.svm.classes.SVC(11)_degree2
sklearn.svm.classes.SVC(11)_gamma6.670063001226719e-05
sklearn.svm.classes.SVC(11)_kernel"sigmoid"
sklearn.svm.classes.SVC(11)_max_iter-1
sklearn.svm.classes.SVC(11)_probabilitytrue
sklearn.svm.classes.SVC(11)_random_state20480
sklearn.svm.classes.SVC(11)_shrinkingfalse
sklearn.svm.classes.SVC(11)_tol1.073349253886451e-05
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

0.8728 ± 0.0302
Per class
Cross-validation details (10-fold Crossvalidation)
0.8482 ± 0.0424
Per class
Cross-validation details (10-fold Crossvalidation)
0.6967 ± 0.0826
Cross-validation details (10-fold Crossvalidation)
372.0358 ± 3.8819
Cross-validation details (10-fold Crossvalidation)
0.2468 ± 0.0244
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)
0.8572 ± 0.0383
Per class
Cross-validation details (10-fold Crossvalidation)
0.8478 ± 0.0423
Cross-validation details (10-fold Crossvalidation)
0.9913
Cross-validation details (10-fold Crossvalidation)
0.8478 ± 0.0423
Per class
Cross-validation details (10-fold Crossvalidation)
0.4997 ± 0.0494
Cross-validation details (10-fold Crossvalidation)
0.497 ± 0.0008
Cross-validation details (10-fold Crossvalidation)
0.3519 ± 0.0401
Cross-validation details (10-fold Crossvalidation)
0.7081 ± 0.0806
Cross-validation details (10-fold Crossvalidation)