Run
6125923

Run 6125923

Task 9956 (Supervised Classification) one-hundred-plants-texture Uploaded 19-08-2017 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[]
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)_C31.944242606771976
sklearn.svm.classes.SVC(8)_cache_size200
sklearn.svm.classes.SVC(8)_class_weightnull
sklearn.svm.classes.SVC(8)_coef00.23990872852642564
sklearn.svm.classes.SVC(8)_decision_function_shapenull
sklearn.svm.classes.SVC(8)_degree3
sklearn.svm.classes.SVC(8)_gamma0.010310550353244225
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_state53667
sklearn.svm.classes.SVC(8)_shrinkingfalse
sklearn.svm.classes.SVC(8)_tol0.0049703977399068976
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.

15 Evaluation measures

0.4322 ± 0.0174
Per class
Cross-validation details (10-fold Crossvalidation)
0.0243 ± 0.0105
Cross-validation details (10-fold Crossvalidation)
22.4879 ± 0.2288
Cross-validation details (10-fold Crossvalidation)
0.0198 ± 0
Cross-validation details (10-fold Crossvalidation)
0.0198 ± 0
Cross-validation details (10-fold Crossvalidation)
1599
Per class
Cross-validation details (10-fold Crossvalidation)
0.0338 ± 0.0103
Cross-validation details (10-fold Crossvalidation)
6.6438
Cross-validation details (10-fold Crossvalidation)
0.0338 ± 0.0103
Per class
Cross-validation details (10-fold Crossvalidation)
0.9991 ± 0.0002
Cross-validation details (10-fold Crossvalidation)
0.0995 ± 0
Cross-validation details (10-fold Crossvalidation)
0.0994 ± 0
Cross-validation details (10-fold Crossvalidation)
0.9992 ± 0.0002
Cross-validation details (10-fold Crossvalidation)