Run
4604861

Run 4604861

Task 9946 (Supervised Classification) wdbc Uploaded 07-07-2017 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)(2)Automatically created scikit-learn flow.
sklearn.preprocessing.data.OneHotEncoder(6)_categorical_features[]
sklearn.preprocessing.data.OneHotEncoder(6)_dtype{"oml-python:serialized_object": "type", "value": "np.float64"}
sklearn.preprocessing.data.OneHotEncoder(6)_handle_unknown"ignore"
sklearn.preprocessing.data.OneHotEncoder(6)_n_values"auto"
sklearn.preprocessing.data.OneHotEncoder(6)_sparsefalse
openmlstudy14.preprocessing.ConditionalImputer(3)_axis0
openmlstudy14.preprocessing.ConditionalImputer(3)_categorical_features[]
openmlstudy14.preprocessing.ConditionalImputer(3)_copytrue
openmlstudy14.preprocessing.ConditionalImputer(3)_fill_empty0
openmlstudy14.preprocessing.ConditionalImputer(3)_missing_values"NaN"
openmlstudy14.preprocessing.ConditionalImputer(3)_strategy"median"
openmlstudy14.preprocessing.ConditionalImputer(3)_strategy_nominal"most_frequent"
openmlstudy14.preprocessing.ConditionalImputer(3)_verbose0
sklearn.feature_selection.variance_threshold.VarianceThreshold(5)_threshold0.0
sklearn.svm.classes.SVC(9)_C28898.686146115622
sklearn.svm.classes.SVC(9)_cache_size200
sklearn.svm.classes.SVC(9)_class_weightnull
sklearn.svm.classes.SVC(9)_coef0-0.37892674300894025
sklearn.svm.classes.SVC(9)_decision_function_shapenull
sklearn.svm.classes.SVC(9)_degree3
sklearn.svm.classes.SVC(9)_gamma1.3350634943486208
sklearn.svm.classes.SVC(9)_kernel"sigmoid"
sklearn.svm.classes.SVC(9)_max_iter-1
sklearn.svm.classes.SVC(9)_probabilitytrue
sklearn.svm.classes.SVC(9)_random_state43523
sklearn.svm.classes.SVC(9)_shrinkingfalse
sklearn.svm.classes.SVC(9)_tol0.019149490402171874
sklearn.svm.classes.SVC(9)_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
0.4933
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.4838
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-0.5846
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4679
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4676
Cross-validation details (10-fold Crossvalidation)
Number of instances
569
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.3937
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6274
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.953
Cross-validation details (10-fold Crossvalidation)
Recall
0.6274
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.0005
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4835
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4835
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1
Cross-validation details (10-fold Crossvalidation)