Run
10228921

Run 10228921

Task 31 (Supervised Classification) credit-g Uploaded 29-06-2019 by Sami Berkan Akkaya
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Flow

sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer, estimator=sklearn.tree.tree.DecisionTreeClassifier)(19)Automatically created scikit-learn flow.
sklearn.tree.tree.DecisionTreeClassifier(43)_class_weightnull
sklearn.tree.tree.DecisionTreeClassifier(43)_criterion"gini"
sklearn.tree.tree.DecisionTreeClassifier(43)_max_depthnull
sklearn.tree.tree.DecisionTreeClassifier(43)_max_featuresnull
sklearn.tree.tree.DecisionTreeClassifier(43)_max_leaf_nodesnull
sklearn.tree.tree.DecisionTreeClassifier(43)_min_impurity_decrease0.0
sklearn.tree.tree.DecisionTreeClassifier(43)_min_impurity_splitnull
sklearn.tree.tree.DecisionTreeClassifier(43)_min_samples_leaf1
sklearn.tree.tree.DecisionTreeClassifier(43)_min_samples_split2
sklearn.tree.tree.DecisionTreeClassifier(43)_min_weight_fraction_leaf0.0
sklearn.tree.tree.DecisionTreeClassifier(43)_presortfalse
sklearn.tree.tree.DecisionTreeClassifier(43)_random_state26544
sklearn.tree.tree.DecisionTreeClassifier(43)_splitter"best"
sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,estimator=sklearn.tree.tree.DecisionTreeClassifier)(19)_memorynull
sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,estimator=sklearn.tree.tree.DecisionTreeClassifier)(19)_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.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,estimator=sklearn.tree.tree.DecisionTreeClassifier)(19)_verbosefalse
sklearn.preprocessing.imputation.Imputer(45)_axis0
sklearn.preprocessing.imputation.Imputer(45)_copytrue
sklearn.preprocessing.imputation.Imputer(45)_missing_values"NaN"
sklearn.preprocessing.imputation.Imputer(45)_strategy"mean"
sklearn.preprocessing.imputation.Imputer(45)_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

Area under ROC curve
0.6514 ± 0.0561
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6997 ± 0.0436
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.295 ± 0.1033
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.2237 ± 0.1143
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.304 ± 0.0448
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4202
Cross-validation details (10-fold Crossvalidation)
Number of instances
1000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7044 ± 0.0452
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.696 ± 0.0448
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8813
Cross-validation details (10-fold Crossvalidation)
Recall
0.696 ± 0.0448
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7235 ± 0.1066
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4583
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5514 ± 0.04
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.2032 ± 0.0873
Cross-validation details (10-fold Crossvalidation)