OpenML
8981538

Run 8981538

Task 7592 (Supervised Classification) adult Uploaded 08-04-2018 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,scaling=sklea rn.preprocessing.data.StandardScaler,variencethreshold=sklearn.feature_sele ction.variance_threshold.VarianceThreshold,classifier=sklearn.svm.classes.S VC)(2)Automatically created scikit-learn flow.
openmlstudy14.preprocessing.ConditionalImputer(5)_axis0
openmlstudy14.preprocessing.ConditionalImputer(5)_categorical_features[1, 3, 5, 6, 7, 8, 9, 13]
openmlstudy14.preprocessing.ConditionalImputer(5)_copytrue
openmlstudy14.preprocessing.ConditionalImputer(5)_fill_empty0
openmlstudy14.preprocessing.ConditionalImputer(5)_missing_values"NaN"
openmlstudy14.preprocessing.ConditionalImputer(5)_strategy"most_frequent"
openmlstudy14.preprocessing.ConditionalImputer(5)_strategy_nominal"most_frequent"
openmlstudy14.preprocessing.ConditionalImputer(5)_verbose0
sklearn.preprocessing.data.OneHotEncoder(9)_categorical_features[1, 3, 5, 6, 7, 8, 9, 13]
sklearn.preprocessing.data.OneHotEncoder(9)_dtype{"oml-python:serialized_object": "type", "value": "np.float64"}
sklearn.preprocessing.data.OneHotEncoder(9)_handle_unknown"ignore"
sklearn.preprocessing.data.OneHotEncoder(9)_n_values"auto"
sklearn.preprocessing.data.OneHotEncoder(9)_sparsetrue
sklearn.feature_selection.variance_threshold.VarianceThreshold(7)_threshold0.0
sklearn.svm.classes.SVC(11)_C0.19131937523213602
sklearn.svm.classes.SVC(11)_cache_size200
sklearn.svm.classes.SVC(11)_class_weightnull
sklearn.svm.classes.SVC(11)_coef0-0.9139757610943469
sklearn.svm.classes.SVC(11)_decision_function_shapenull
sklearn.svm.classes.SVC(11)_degree3
sklearn.svm.classes.SVC(11)_gamma1.9078015445619843e-05
sklearn.svm.classes.SVC(11)_kernel"sigmoid"
sklearn.svm.classes.SVC(11)_max_iter-1
sklearn.svm.classes.SVC(11)_probabilitytrue
sklearn.svm.classes.SVC(11)_random_state57485
sklearn.svm.classes.SVC(11)_shrinkingtrue
sklearn.svm.classes.SVC(11)_tol0.04647830272551588
sklearn.svm.classes.SVC(11)_verbosefalse
sklearn.preprocessing.data.StandardScaler(7)_copytrue
sklearn.preprocessing.data.StandardScaler(7)_with_meanfalse
sklearn.preprocessing.data.StandardScaler(7)_with_stdtrue

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
0.8842 ± 0.0053
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7726 ± 0.0133
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3263 ± 0.0405
Cross-validation details (10-fold Crossvalidation)
KB relative information score
20013.6385 ± 59.4339
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1965 ± 0.0029
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3641 ± 0
Cross-validation details (10-fold Crossvalidation)
Number of instances
48842
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8169 ± 0.0068
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8121 ± 0.0071
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7939
Cross-validation details (10-fold Crossvalidation)
Recall
0.8121 ± 0.0071
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5399 ± 0.008
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4266 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3827 ± 0.009
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.897 ± 0.0211
Cross-validation details (10-fold Crossvalidation)