Run
5955303

Run 5955303

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)_bootstraptrue
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_features0.26594053108190296
sklearn.ensemble.forest.RandomForestClassifier(21)_max_leaf_nodesnull
sklearn.ensemble.forest.RandomForestClassifier(21)_min_impurity_split1e-07
sklearn.ensemble.forest.RandomForestClassifier(21)_min_samples_leaf15
sklearn.ensemble.forest.RandomForestClassifier(21)_min_samples_split3
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_state32799
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"median"
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

0.5814 ± 0.0357
Per class
Cross-validation details (10-fold Crossvalidation)
0.2006 ± 0.0462
Per class
Cross-validation details (10-fold Crossvalidation)
0.048 ± 0.0567
Cross-validation details (10-fold Crossvalidation)
55.6115 ± 0.9133
Cross-validation details (10-fold Crossvalidation)
0.2732 ± 0.0019
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)
0.2004 ± 0.0516
Per class
Cross-validation details (10-fold Crossvalidation)
0.2108 ± 0.0467
Cross-validation details (10-fold Crossvalidation)
2.5803
Cross-validation details (10-fold Crossvalidation)
0.2108 ± 0.0467
Per class
Cross-validation details (10-fold Crossvalidation)
0.9847 ± 0.0067
Cross-validation details (10-fold Crossvalidation)
0.3724 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
0.3702 ± 0.0026
Cross-validation details (10-fold Crossvalidation)
0.994 ± 0.007
Cross-validation details (10-fold Crossvalidation)