OpenML
6258696

Run 6258696

Task 9978 (Supervised Classification) ozone-level-8hr Uploaded 28-08-2017 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"median"
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)_C0.952413750130089
sklearn.svm.classes.SVC(8)_cache_size200
sklearn.svm.classes.SVC(8)_class_weightnull
sklearn.svm.classes.SVC(8)_coef00.7584395048981858
sklearn.svm.classes.SVC(8)_decision_function_shapenull
sklearn.svm.classes.SVC(8)_degree1
sklearn.svm.classes.SVC(8)_gamma3.163393855421855
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_state14517
sklearn.svm.classes.SVC(8)_shrinkingfalse
sklearn.svm.classes.SVC(8)_tol0.02374881527527936
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

Area under ROC curve
0.9169 ± 0.0365
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9215 ± 0.0111
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2045 ± 0.1394
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-150.292 ± 28.5149
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0831 ± 0.006
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1186 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
Number of instances
2534
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9226 ± 0.022
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9396 ± 0.0062
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.3411
Cross-validation details (10-fold Crossvalidation)
Recall
0.9396 ± 0.0062
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7008 ± 0.0501
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2432 ± 0.0002
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2103 ± 0.0141
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8648 ± 0.0579
Cross-validation details (10-fold Crossvalidation)