Run
6132660

Run 6132660

Task 3543 (Supervised Classification) irish Uploaded 24-08-2017 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, 2, 4]
openmlstudy14.preprocessing.ConditionalImputer(2)_copytrue
openmlstudy14.preprocessing.ConditionalImputer(2)_fill_empty0
openmlstudy14.preprocessing.ConditionalImputer(2)_missing_values"NaN"
openmlstudy14.preprocessing.ConditionalImputer(2)_strategy"mean"
openmlstudy14.preprocessing.ConditionalImputer(2)_strategy_nominal"most_frequent"
openmlstudy14.preprocessing.ConditionalImputer(2)_verbose0
sklearn.preprocessing.data.OneHotEncoder(7)_categorical_features[0, 2, 4]
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)_C8794.200642059372
sklearn.svm.classes.SVC(8)_cache_size200
sklearn.svm.classes.SVC(8)_class_weightnull
sklearn.svm.classes.SVC(8)_coef00.0
sklearn.svm.classes.SVC(8)_decision_function_shapenull
sklearn.svm.classes.SVC(8)_degree3
sklearn.svm.classes.SVC(8)_gamma2.247197478929312
sklearn.svm.classes.SVC(8)_kernel"rbf"
sklearn.svm.classes.SVC(8)_max_iter-1
sklearn.svm.classes.SVC(8)_probabilitytrue
sklearn.svm.classes.SVC(8)_random_state1554
sklearn.svm.classes.SVC(8)_shrinkingtrue
sklearn.svm.classes.SVC(8)_tol0.09615450404028335
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

0.7458 ± 0.0848
Per class
Cross-validation details (10-fold Crossvalidation)
0.6536 ± 0.064
Per class
Cross-validation details (10-fold Crossvalidation)
0.344 ± 0.0969
Cross-validation details (10-fold Crossvalidation)
131.6934 ± 2.8555
Cross-validation details (10-fold Crossvalidation)
0.3704 ± 0.0275
Cross-validation details (10-fold Crossvalidation)
0.4938 ± 0.0009
Cross-validation details (10-fold Crossvalidation)
500
Per class
Cross-validation details (10-fold Crossvalidation)
0.7986 ± 0.0204
Per class
Cross-validation details (10-fold Crossvalidation)
0.698 ± 0.0447
Cross-validation details (10-fold Crossvalidation)
0.991
Cross-validation details (10-fold Crossvalidation)
0.698 ± 0.0447
Per class
Cross-validation details (10-fold Crossvalidation)
0.7502 ± 0.0547
Cross-validation details (10-fold Crossvalidation)
0.4969 ± 0.0009
Cross-validation details (10-fold Crossvalidation)
0.4249 ± 0.0188
Cross-validation details (10-fold Crossvalidation)
0.8552 ± 0.0367
Cross-validation details (10-fold Crossvalidation)