Run
6141842

Run 6141842

Task 34538 (Supervised Classification) MiceProtein Uploaded 26-08-2017 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,variencethres hold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classif ier=sklearn.svm.classes.SVC)(1)Automatically created scikit-learn flow.
openmlstudy14.preprocessing.ConditionalImputer(2)_axis0
openmlstudy14.preprocessing.ConditionalImputer(2)_categorical_features[0, 78, 79, 80]
openmlstudy14.preprocessing.ConditionalImputer(2)_copytrue
openmlstudy14.preprocessing.ConditionalImputer(2)_fill_empty0
openmlstudy14.preprocessing.ConditionalImputer(2)_missing_values"NaN"
openmlstudy14.preprocessing.ConditionalImputer(2)_strategy"most_frequent"
openmlstudy14.preprocessing.ConditionalImputer(2)_strategy_nominal"most_frequent"
openmlstudy14.preprocessing.ConditionalImputer(2)_verbose0
sklearn.preprocessing.data.OneHotEncoder(7)_categorical_features[0, 78, 79, 80]
sklearn.preprocessing.data.OneHotEncoder(7)_dtype{"oml-python:serialized_object": "type", "value": "np.float64"}
sklearn.preprocessing.data.OneHotEncoder(7)_handle_unknown"ignore"
sklearn.preprocessing.data.OneHotEncoder(7)_n_values"auto"
sklearn.preprocessing.data.OneHotEncoder(7)_sparsetrue
sklearn.feature_selection.variance_threshold.VarianceThreshold(4)_threshold0.0
sklearn.svm.classes.SVC(8)_C0.0354248803040776
sklearn.svm.classes.SVC(8)_cache_size200
sklearn.svm.classes.SVC(8)_class_weightnull
sklearn.svm.classes.SVC(8)_coef00.8839785633082868
sklearn.svm.classes.SVC(8)_decision_function_shapenull
sklearn.svm.classes.SVC(8)_degree3
sklearn.svm.classes.SVC(8)_gamma0.0010519957559830446
sklearn.svm.classes.SVC(8)_kernel"poly"
sklearn.svm.classes.SVC(8)_max_iter-1
sklearn.svm.classes.SVC(8)_probabilitytrue
sklearn.svm.classes.SVC(8)_random_state8500
sklearn.svm.classes.SVC(8)_shrinkingfalse
sklearn.svm.classes.SVC(8)_tol0.006016426284881594
sklearn.svm.classes.SVC(8)_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

0.8955 ± 0.0157
Per class
Cross-validation details (10-fold Crossvalidation)
0.4675 ± 0.0465
Per class
Cross-validation details (10-fold Crossvalidation)
0.4669 ± 0.0478
Cross-validation details (10-fold Crossvalidation)
227.8131 ± 1.1183
Cross-validation details (10-fold Crossvalidation)
0.1907 ± 0.0026
Cross-validation details (10-fold Crossvalidation)
0.2185 ± 0
Cross-validation details (10-fold Crossvalidation)
1080
Per class
Cross-validation details (10-fold Crossvalidation)
0.6118 ± 0.0483
Per class
Cross-validation details (10-fold Crossvalidation)
0.5333 ± 0.0419
Cross-validation details (10-fold Crossvalidation)
2.9931
Cross-validation details (10-fold Crossvalidation)
0.5333 ± 0.0419
Per class
Cross-validation details (10-fold Crossvalidation)
0.8727 ± 0.0118
Cross-validation details (10-fold Crossvalidation)
0.3305 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
0.3038 ± 0.0027
Cross-validation details (10-fold Crossvalidation)
0.9191 ± 0.0083
Cross-validation details (10-fold Crossvalidation)