Run
6040817

Run 6040817

Task 9954 (Supervised Classification) one-hundred-plants-margin Uploaded 21-07-2017 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[]
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[]
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)_C549.4264198404019
sklearn.svm.classes.SVC(8)_cache_size200
sklearn.svm.classes.SVC(8)_class_weightnull
sklearn.svm.classes.SVC(8)_coef0-0.10540573726025548
sklearn.svm.classes.SVC(8)_decision_function_shapenull
sklearn.svm.classes.SVC(8)_degree3
sklearn.svm.classes.SVC(8)_gamma0.05765092375524838
sklearn.svm.classes.SVC(8)_kernel"sigmoid"
sklearn.svm.classes.SVC(8)_max_iter-1
sklearn.svm.classes.SVC(8)_probabilitytrue
sklearn.svm.classes.SVC(8)_random_state58613
sklearn.svm.classes.SVC(8)_shrinkingfalse
sklearn.svm.classes.SVC(8)_tol7.89373514574744e-05
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

0.9946 ± 0.001
Per class
Cross-validation details (10-fold Crossvalidation)
0.7752
Per class
0.7721 ± 0.0153
Cross-validation details (10-fold Crossvalidation)
956.3262 ± 1.1679
Cross-validation details (10-fold Crossvalidation)
0.0164 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
0.0198
Cross-validation details (10-fold Crossvalidation)
1600
Per class
Cross-validation details (10-fold Crossvalidation)
0.7862
Per class
0.7744 ± 0.0152
Cross-validation details (10-fold Crossvalidation)
6.6439
Cross-validation details (10-fold Crossvalidation)
0.7744 ± 0.0152
Per class
Cross-validation details (10-fold Crossvalidation)
0.8296 ± 0.0066
Cross-validation details (10-fold Crossvalidation)
0.0995
Cross-validation details (10-fold Crossvalidation)
0.0844 ± 0.0006
Cross-validation details (10-fold Crossvalidation)
0.848 ± 0.0061
Cross-validation details (10-fold Crossvalidation)