Run
5981695

Run 5981695

Task 3510 (Supervised Classification) JapaneseVowels Uploaded 17-07-2017 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_features0.23383843513746624
sklearn.ensemble.forest.RandomForestClassifier(21)_max_leaf_nodesnull
sklearn.ensemble.forest.RandomForestClassifier(21)_min_impurity_split1e-07
sklearn.ensemble.forest.RandomForestClassifier(21)_min_samples_leaf16
sklearn.ensemble.forest.RandomForestClassifier(21)_min_samples_split6
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_state4201
sklearn.ensemble.forest.RandomForestClassifier(21)_verbose0
sklearn.ensemble.forest.RandomForestClassifier(21)_warm_startfalse
openmlstudy14.preprocessing.ConditionalImputer(2)_axis0
openmlstudy14.preprocessing.ConditionalImputer(2)_categorical_features[]
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[]
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

0.9969 ± 0.0003
Per class
Cross-validation details (10-fold Crossvalidation)
0.9331 ± 0.0053
Per class
Cross-validation details (10-fold Crossvalidation)
0.9251 ± 0.0059
Cross-validation details (10-fold Crossvalidation)
8038.0212 ± 3.6537
Cross-validation details (10-fold Crossvalidation)
0.0658 ± 0.0011
Cross-validation details (10-fold Crossvalidation)
0.1962 ± 0
Cross-validation details (10-fold Crossvalidation)
9961
Per class
Cross-validation details (10-fold Crossvalidation)
0.9336 ± 0.0054
Per class
Cross-validation details (10-fold Crossvalidation)
0.9339 ± 0.0052
Cross-validation details (10-fold Crossvalidation)
3.1321
Cross-validation details (10-fold Crossvalidation)
0.9339 ± 0.0052
Per class
Cross-validation details (10-fold Crossvalidation)
0.3352 ± 0.0055
Cross-validation details (10-fold Crossvalidation)
0.3132 ± 0
Cross-validation details (10-fold Crossvalidation)
0.1412 ± 0.0017
Cross-validation details (10-fold Crossvalidation)
0.4508 ± 0.0054
Cross-validation details (10-fold Crossvalidation)