Run
4691711

Run 4691711

Task 2074 (Supervised Classification) satimage 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"most_frequent"
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)_C0.16149541347135643
sklearn.svm.classes.SVC(9)_cache_size200
sklearn.svm.classes.SVC(9)_class_weightnull
sklearn.svm.classes.SVC(9)_coef00.0
sklearn.svm.classes.SVC(9)_decision_function_shapenull
sklearn.svm.classes.SVC(9)_degree3
sklearn.svm.classes.SVC(9)_gamma0.00025893375486260985
sklearn.svm.classes.SVC(9)_kernel"rbf"
sklearn.svm.classes.SVC(9)_max_iter-1
sklearn.svm.classes.SVC(9)_probabilitytrue
sklearn.svm.classes.SVC(9)_random_state64801
sklearn.svm.classes.SVC(9)_shrinkingfalse
sklearn.svm.classes.SVC(9)_tol5.37143744067938e-05
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
0.9732
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8204
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7744
Cross-validation details (10-fold Crossvalidation)
KB relative information score
4940.2536
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.083
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2701
Cross-validation details (10-fold Crossvalidation)
Number of instances
6430
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8255
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8165
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.4836
Cross-validation details (10-fold Crossvalidation)
Recall
0.8165
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3073
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3675
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.204
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5551
Cross-validation details (10-fold Crossvalidation)