Run
8778575

Run 8778575

Task 29 (Supervised Classification) credit-approval Uploaded 06-01-2018 by Vishal Chouskey
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  • openml-pimp openml-python Sklearn_0.18.2.
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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)(4)Automatically created scikit-learn flow.
sklearn.preprocessing.data.OneHotEncoder(14)_categorical_features[0, 3, 4, 5, 6, 8, 9, 11, 12]
sklearn.preprocessing.data.OneHotEncoder(14)_dtype{"oml-python:serialized_object": "type", "value": "np.float64"}
sklearn.preprocessing.data.OneHotEncoder(14)_handle_unknown"ignore"
sklearn.preprocessing.data.OneHotEncoder(14)_n_values"auto"
sklearn.preprocessing.data.OneHotEncoder(14)_sparsetrue
sklearn.ensemble.forest.RandomForestClassifier(29)_bootstraptrue
sklearn.ensemble.forest.RandomForestClassifier(29)_class_weightnull
sklearn.ensemble.forest.RandomForestClassifier(29)_criterion"gini"
sklearn.ensemble.forest.RandomForestClassifier(29)_max_depthnull
sklearn.ensemble.forest.RandomForestClassifier(29)_max_features0.20394995470289726
sklearn.ensemble.forest.RandomForestClassifier(29)_max_leaf_nodesnull
sklearn.ensemble.forest.RandomForestClassifier(29)_min_impurity_split1e-07
sklearn.ensemble.forest.RandomForestClassifier(29)_min_samples_leaf6
sklearn.ensemble.forest.RandomForestClassifier(29)_min_samples_split5
sklearn.ensemble.forest.RandomForestClassifier(29)_min_weight_fraction_leaf0.0
sklearn.ensemble.forest.RandomForestClassifier(29)_n_estimators10
sklearn.ensemble.forest.RandomForestClassifier(29)_n_jobs1
sklearn.ensemble.forest.RandomForestClassifier(29)_oob_scorefalse
sklearn.ensemble.forest.RandomForestClassifier(29)_random_state28753
sklearn.ensemble.forest.RandomForestClassifier(29)_verbose0
sklearn.ensemble.forest.RandomForestClassifier(29)_warm_startfalse
sklearn.feature_selection.variance_threshold.VarianceThreshold(9)_threshold0.0
openmlstudy14.preprocessing.ConditionalImputer(6)_axis0
openmlstudy14.preprocessing.ConditionalImputer(6)_categorical_features[0, 3, 4, 5, 6, 8, 9, 11, 12]
openmlstudy14.preprocessing.ConditionalImputer(6)_copytrue
openmlstudy14.preprocessing.ConditionalImputer(6)_fill_empty0
openmlstudy14.preprocessing.ConditionalImputer(6)_missing_values"NaN"
openmlstudy14.preprocessing.ConditionalImputer(6)_strategy"most_frequent"
openmlstudy14.preprocessing.ConditionalImputer(6)_strategy_nominal"most_frequent"
openmlstudy14.preprocessing.ConditionalImputer(6)_verbose0

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

0.9263 ± 0.0394
Per class
Cross-validation details (10-fold Crossvalidation)
0.8655 ± 0.0468
Per class
Cross-validation details (10-fold Crossvalidation)
0.7284 ± 0.0946
Cross-validation details (10-fold Crossvalidation)
405.5324 ± 4.3851
Cross-validation details (10-fold Crossvalidation)
0.2181 ± 0.0287
Cross-validation details (10-fold Crossvalidation)
0.494 ± 0.0008
Cross-validation details (10-fold Crossvalidation)
690
Per class
Cross-validation details (10-fold Crossvalidation)
0.8666 ± 0.0475
Per class
Cross-validation details (10-fold Crossvalidation)
0.8652 ± 0.0469
Cross-validation details (10-fold Crossvalidation)
0.9913
Cross-validation details (10-fold Crossvalidation)
0.8652 ± 0.0469
Per class
Cross-validation details (10-fold Crossvalidation)
0.4414 ± 0.058
Cross-validation details (10-fold Crossvalidation)
0.497 ± 0.0008
Cross-validation details (10-fold Crossvalidation)
0.3193 ± 0.0422
Cross-validation details (10-fold Crossvalidation)
0.6425 ± 0.0848
Cross-validation details (10-fold Crossvalidation)