Run
5910109

Run 5910109

Task 3561 (Supervised Classification) profb Uploaded 13-07-2017 by Jan van Rijn
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  • openml-pimp openml-python Sklearn_0.18.1. study_71
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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.ensemble.forest.RandomForestClassifier)(1)Automatically created scikit-learn flow.
sklearn.ensemble.forest.RandomForestClassifier(21)_bootstraptrue
sklearn.ensemble.forest.RandomForestClassifier(21)_class_weightnull
sklearn.ensemble.forest.RandomForestClassifier(21)_criterion"entropy"
sklearn.ensemble.forest.RandomForestClassifier(21)_max_depthnull
sklearn.ensemble.forest.RandomForestClassifier(21)_max_features0.6140973965647392
sklearn.ensemble.forest.RandomForestClassifier(21)_max_leaf_nodesnull
sklearn.ensemble.forest.RandomForestClassifier(21)_min_impurity_split1e-07
sklearn.ensemble.forest.RandomForestClassifier(21)_min_samples_leaf2
sklearn.ensemble.forest.RandomForestClassifier(21)_min_samples_split11
sklearn.ensemble.forest.RandomForestClassifier(21)_min_weight_fraction_leaf0.0
sklearn.ensemble.forest.RandomForestClassifier(21)_n_estimators100
sklearn.ensemble.forest.RandomForestClassifier(21)_n_jobs1
sklearn.ensemble.forest.RandomForestClassifier(21)_oob_scorefalse
sklearn.ensemble.forest.RandomForestClassifier(21)_random_state18146
sklearn.ensemble.forest.RandomForestClassifier(21)_verbose0
sklearn.ensemble.forest.RandomForestClassifier(21)_warm_startfalse
openmlstudy14.preprocessing.ConditionalImputer(2)_axis0
openmlstudy14.preprocessing.ConditionalImputer(2)_categorical_features[3, 4, 7, 8]
openmlstudy14.preprocessing.ConditionalImputer(2)_copytrue
openmlstudy14.preprocessing.ConditionalImputer(2)_fill_empty0
openmlstudy14.preprocessing.ConditionalImputer(2)_missing_values"NaN"
openmlstudy14.preprocessing.ConditionalImputer(2)_strategy"mean"
openmlstudy14.preprocessing.ConditionalImputer(2)_strategy_nominal"most_frequent"
openmlstudy14.preprocessing.ConditionalImputer(2)_verbose0
sklearn.preprocessing.data.OneHotEncoder(7)_categorical_features[3, 4, 7, 8]
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

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

0.6908 ± 0.0562
Per class
Cross-validation details (10-fold Crossvalidation)
0.6673 ± 0.0304
Per class
Cross-validation details (10-fold Crossvalidation)
0.2294 ± 0.0701
Cross-validation details (10-fold Crossvalidation)
72.7012 ± 2.5406
Cross-validation details (10-fold Crossvalidation)
0.3937 ± 0.0151
Cross-validation details (10-fold Crossvalidation)
0.4446 ± 0.0022
Cross-validation details (10-fold Crossvalidation)
672
Per class
Cross-validation details (10-fold Crossvalidation)
0.6719 ± 0.0339
Per class
Cross-validation details (10-fold Crossvalidation)
0.6935 ± 0.0277
Cross-validation details (10-fold Crossvalidation)
0.9188
Cross-validation details (10-fold Crossvalidation)
0.6935 ± 0.0277
Per class
Cross-validation details (10-fold Crossvalidation)
0.8854 ± 0.032
Cross-validation details (10-fold Crossvalidation)
0.4714 ± 0.0023
Cross-validation details (10-fold Crossvalidation)
0.4491 ± 0.0163
Cross-validation details (10-fold Crossvalidation)
0.9527 ± 0.0335
Cross-validation details (10-fold Crossvalidation)