Run
5953379

Run 5953379

Task 3560 (Supervised Classification) analcatdata_dmft Uploaded 14-07-2017 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)_bootstrapfalse
sklearn.ensemble.forest.RandomForestClassifier(21)_class_weightnull
sklearn.ensemble.forest.RandomForestClassifier(21)_criterion"gini"
sklearn.ensemble.forest.RandomForestClassifier(21)_max_depthnull
sklearn.ensemble.forest.RandomForestClassifier(21)_max_features0.6952225679350998
sklearn.ensemble.forest.RandomForestClassifier(21)_max_leaf_nodesnull
sklearn.ensemble.forest.RandomForestClassifier(21)_min_impurity_split1e-07
sklearn.ensemble.forest.RandomForestClassifier(21)_min_samples_leaf8
sklearn.ensemble.forest.RandomForestClassifier(21)_min_samples_split8
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_state40318
sklearn.ensemble.forest.RandomForestClassifier(21)_verbose0
sklearn.ensemble.forest.RandomForestClassifier(21)_warm_startfalse
openmlstudy14.preprocessing.ConditionalImputer(2)_axis0
openmlstudy14.preprocessing.ConditionalImputer(2)_categorical_features[0, 1, 2, 3]
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, 2, 3]
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

0.5543 ± 0.0417
Per class
Cross-validation details (10-fold Crossvalidation)
0.1996 ± 0.0574
Per class
Cross-validation details (10-fold Crossvalidation)
0.0385 ± 0.067
Cross-validation details (10-fold Crossvalidation)
79.9158 ± 1.986
Cross-validation details (10-fold Crossvalidation)
0.2717 ± 0.0044
Cross-validation details (10-fold Crossvalidation)
0.2774 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
797
Per class
Cross-validation details (10-fold Crossvalidation)
0.1996 ± 0.0597
Per class
Cross-validation details (10-fold Crossvalidation)
0.2008 ± 0.0562
Cross-validation details (10-fold Crossvalidation)
2.5803
Cross-validation details (10-fold Crossvalidation)
0.2008 ± 0.0562
Per class
Cross-validation details (10-fold Crossvalidation)
0.9796 ± 0.0158
Cross-validation details (10-fold Crossvalidation)
0.3724 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
0.379 ± 0.006
Cross-validation details (10-fold Crossvalidation)
1.0176 ± 0.0161
Cross-validation details (10-fold Crossvalidation)