Run
8727792

Run 8727792

Task 3899 (Supervised Classification) mozilla4 Uploaded 29-12-2017 by Jan van Rijn
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  • openml-pimp openml-python Sklearn_0.18.1. study_71
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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)(1)Automatically created scikit-learn flow.
openmlstudy14.preprocessing.ConditionalImputer(6)_axis0
openmlstudy14.preprocessing.ConditionalImputer(6)_categorical_features[]
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[]
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)_C0.11554045638858487
sklearn.svm.classes.SVC(17)_cache_size200
sklearn.svm.classes.SVC(17)_class_weightnull
sklearn.svm.classes.SVC(17)_coef0-0.3362809557418931
sklearn.svm.classes.SVC(17)_decision_function_shapenull
sklearn.svm.classes.SVC(17)_degree2
sklearn.svm.classes.SVC(17)_gamma0.00048535721170790675
sklearn.svm.classes.SVC(17)_kernel"rbf"
sklearn.svm.classes.SVC(17)_max_iter-1
sklearn.svm.classes.SVC(17)_probabilitytrue
sklearn.svm.classes.SVC(17)_random_state8657
sklearn.svm.classes.SVC(17)_shrinkingtrue
sklearn.svm.classes.SVC(17)_tol0.004789460406504349
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

0.8474 ± 0.0071
Per class
Cross-validation details (10-fold Crossvalidation)
0.7457 ± 0.0079
Per class
Cross-validation details (10-fold Crossvalidation)
0.4187 ± 0.0193
Cross-validation details (10-fold Crossvalidation)
5347.9805 ± 13.4238
Cross-validation details (10-fold Crossvalidation)
0.2906 ± 0.0035
Cross-validation details (10-fold Crossvalidation)
0.4412 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
15545
Per class
Cross-validation details (10-fold Crossvalidation)
0.7441 ± 0.0082
Per class
Cross-validation details (10-fold Crossvalidation)
0.7483 ± 0.0072
Cross-validation details (10-fold Crossvalidation)
0.9135
Cross-validation details (10-fold Crossvalidation)
0.7483 ± 0.0072
Per class
Cross-validation details (10-fold Crossvalidation)
0.6585 ± 0.0078
Cross-validation details (10-fold Crossvalidation)
0.4697 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
0.389 ± 0.0039
Cross-validation details (10-fold Crossvalidation)
0.8282 ± 0.0082
Cross-validation details (10-fold Crossvalidation)