Run
10228922

Run 10228922

Task 31 (Supervised Classification) credit-g Uploaded 30-06-2019 by Juliano Garcia
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Flow

sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer, estimator=sklearn.tree.tree.DecisionTreeClassifier)(17)Automatically created scikit-learn flow.
sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,estimator=sklearn.tree.tree.DecisionTreeClassifier)(17)_memorynull
sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,estimator=sklearn.tree.tree.DecisionTreeClassifier)(17)_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"}}]
sklearn.preprocessing.imputation.Imputer(43)_axis0
sklearn.preprocessing.imputation.Imputer(43)_copytrue
sklearn.preprocessing.imputation.Imputer(43)_missing_values"NaN"
sklearn.preprocessing.imputation.Imputer(43)_strategy"mean"
sklearn.preprocessing.imputation.Imputer(43)_verbose0
sklearn.tree.tree.DecisionTreeClassifier(42)_class_weightnull
sklearn.tree.tree.DecisionTreeClassifier(42)_criterion"gini"
sklearn.tree.tree.DecisionTreeClassifier(42)_max_depthnull
sklearn.tree.tree.DecisionTreeClassifier(42)_max_featuresnull
sklearn.tree.tree.DecisionTreeClassifier(42)_max_leaf_nodesnull
sklearn.tree.tree.DecisionTreeClassifier(42)_min_impurity_decrease0.0
sklearn.tree.tree.DecisionTreeClassifier(42)_min_impurity_splitnull
sklearn.tree.tree.DecisionTreeClassifier(42)_min_samples_leaf1
sklearn.tree.tree.DecisionTreeClassifier(42)_min_samples_split2
sklearn.tree.tree.DecisionTreeClassifier(42)_min_weight_fraction_leaf0.0
sklearn.tree.tree.DecisionTreeClassifier(42)_presortfalse
sklearn.tree.tree.DecisionTreeClassifier(42)_random_state15600
sklearn.tree.tree.DecisionTreeClassifier(42)_splitter"best"

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

0.6395 ± 0.0438
Per class
Cross-validation details (10-fold Crossvalidation)
0.687 ± 0.0341
Per class
Cross-validation details (10-fold Crossvalidation)
0.2693 ± 0.0815
Cross-validation details (10-fold Crossvalidation)
0.188 ± 0.0891
Cross-validation details (10-fold Crossvalidation)
0.318 ± 0.0349
Cross-validation details (10-fold Crossvalidation)
0.4202
Cross-validation details (10-fold Crossvalidation)
1000
Per class
Cross-validation details (10-fold Crossvalidation)
0.694 ± 0.0351
Per class
Cross-validation details (10-fold Crossvalidation)
0.682 ± 0.0349
Cross-validation details (10-fold Crossvalidation)
0.8813
Cross-validation details (10-fold Crossvalidation)
0.682 ± 0.0349
Per class
Cross-validation details (10-fold Crossvalidation)
0.7569 ± 0.0831
Cross-validation details (10-fold Crossvalidation)
0.4583
Cross-validation details (10-fold Crossvalidation)
0.5639 ± 0.0309
Cross-validation details (10-fold Crossvalidation)
1.2306 ± 0.0674
Cross-validation details (10-fold Crossvalidation)