Run
10194952

Run 10194952

Task 29 (Supervised Classification) credit-approval Uploaded 17-04-2019 by yang hua
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Flow

sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer, estimator=sklearn.tree.tree.DecisionTreeClassifier)(13)Automatically created scikit-learn flow.
sklearn.preprocessing.imputation.Imputer(38)_axis0
sklearn.preprocessing.imputation.Imputer(38)_copytrue
sklearn.preprocessing.imputation.Imputer(38)_missing_values"NaN"
sklearn.preprocessing.imputation.Imputer(38)_strategy"mean"
sklearn.preprocessing.imputation.Imputer(38)_verbose0
sklearn.tree.tree.DecisionTreeClassifier(37)_class_weightnull
sklearn.tree.tree.DecisionTreeClassifier(37)_criterion"gini"
sklearn.tree.tree.DecisionTreeClassifier(37)_max_depthnull
sklearn.tree.tree.DecisionTreeClassifier(37)_max_featuresnull
sklearn.tree.tree.DecisionTreeClassifier(37)_max_leaf_nodesnull
sklearn.tree.tree.DecisionTreeClassifier(37)_min_impurity_decrease0.0
sklearn.tree.tree.DecisionTreeClassifier(37)_min_impurity_splitnull
sklearn.tree.tree.DecisionTreeClassifier(37)_min_samples_leaf1
sklearn.tree.tree.DecisionTreeClassifier(37)_min_samples_split2
sklearn.tree.tree.DecisionTreeClassifier(37)_min_weight_fraction_leaf0.0
sklearn.tree.tree.DecisionTreeClassifier(37)_presortfalse
sklearn.tree.tree.DecisionTreeClassifier(37)_random_state48439
sklearn.tree.tree.DecisionTreeClassifier(37)_splitter"best"
sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,estimator=sklearn.tree.tree.DecisionTreeClassifier)(13)_memorynull
sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,estimator=sklearn.tree.tree.DecisionTreeClassifier)(13)_steps[{"oml-python:serialized_object": "component_reference", "value": {"key": "imputer", "step_name": "imputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "estimator", "step_name": "estimator"}}]

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

0.8109 ± 0.0246
Per class
Cross-validation details (10-fold Crossvalidation)
0.8119 ± 0.0278
Per class
Cross-validation details (10-fold Crossvalidation)
0.6198 ± 0.0539
Cross-validation details (10-fold Crossvalidation)
425.3821 ± 4.0135
Cross-validation details (10-fold Crossvalidation)
0.1884 ± 0.0282
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)
0.8125 ± 0.0241
Per class
Cross-validation details (10-fold Crossvalidation)
0.8116 ± 0.0282
Cross-validation details (10-fold Crossvalidation)
0.9913
Cross-validation details (10-fold Crossvalidation)
0.8116 ± 0.0282
Per class
Cross-validation details (10-fold Crossvalidation)
0.3814 ± 0.0572
Cross-validation details (10-fold Crossvalidation)
0.497 ± 0.0008
Cross-validation details (10-fold Crossvalidation)
0.4341 ± 0.0325
Cross-validation details (10-fold Crossvalidation)
0.8734 ± 0.0659
Cross-validation details (10-fold Crossvalidation)