OpenML
5953903

Run 5953903

Task 125920 (Supervised Classification) dresses-sales Uploaded 14-07-2017 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)(1)Automatically created scikit-learn flow.
openmlstudy14.preprocessing.ConditionalImputer(2)_axis0
openmlstudy14.preprocessing.ConditionalImputer(2)_categorical_features[0, 1, 3, 4, 5, 6, 7, 8, 9, 10, 11]
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[0, 1, 3, 4, 5, 6, 7, 8, 9, 10, 11]
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)_sparsefalse
sklearn.feature_selection.variance_threshold.VarianceThreshold(4)_threshold0.0
sklearn.svm.classes.SVC(8)_C39.91510833733038
sklearn.svm.classes.SVC(8)_cache_size200
sklearn.svm.classes.SVC(8)_class_weightnull
sklearn.svm.classes.SVC(8)_coef00.5759966851605876
sklearn.svm.classes.SVC(8)_decision_function_shapenull
sklearn.svm.classes.SVC(8)_degree4
sklearn.svm.classes.SVC(8)_gamma0.003511777912941259
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_state29868
sklearn.svm.classes.SVC(8)_shrinkingfalse
sklearn.svm.classes.SVC(8)_tol1.0543056155344747e-05
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
0.6308 ± 0.0818
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5605 ± 0.0628
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1267 ± 0.1113
Cross-validation details (10-fold Crossvalidation)
KB relative information score
25.2555 ± 1.6545
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4668 ± 0.0123
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4873
Cross-validation details (10-fold Crossvalidation)
Number of instances
500
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.604 ± 0.091
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.61 ± 0.0483
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9816
Cross-validation details (10-fold Crossvalidation)
Recall
0.61 ± 0.0483
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9579 ± 0.0253
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4936
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4813 ± 0.0125
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9752 ± 0.0253
Cross-validation details (10-fold Crossvalidation)