Run
10228356

Run 10228356

Task 167141 (Supervised Classification) churn Uploaded 03-06-2019 by Andreas Mueller
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  • openml-python Sklearn_0.22.dev0.
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Flow

sklearn.tree.tree.DecisionTreeClassifier(41)Automatically created scikit-learn flow.
sklearn.tree.tree.DecisionTreeClassifier(41)_class_weight"balanced"
sklearn.tree.tree.DecisionTreeClassifier(41)_criterion"gini"
sklearn.tree.tree.DecisionTreeClassifier(41)_max_depthnull
sklearn.tree.tree.DecisionTreeClassifier(41)_max_featuresnull
sklearn.tree.tree.DecisionTreeClassifier(41)_max_leaf_nodes12
sklearn.tree.tree.DecisionTreeClassifier(41)_min_impurity_decrease0.0
sklearn.tree.tree.DecisionTreeClassifier(41)_min_impurity_splitnull
sklearn.tree.tree.DecisionTreeClassifier(41)_min_samples_leaf1
sklearn.tree.tree.DecisionTreeClassifier(41)_min_samples_split2
sklearn.tree.tree.DecisionTreeClassifier(41)_min_weight_fraction_leaf0.0
sklearn.tree.tree.DecisionTreeClassifier(41)_presortfalse
sklearn.tree.tree.DecisionTreeClassifier(41)_random_state10495
sklearn.tree.tree.DecisionTreeClassifier(41)_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

Area under ROC curve
0.8864 ± 0.0208
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9178 ± 0.0132
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.676 ± 0.0465
Cross-validation details (10-fold Crossvalidation)
KB relative information score
673.3608 ± 22.6759
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2018 ± 0.0062
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2429 ± 0.0007
Cross-validation details (10-fold Crossvalidation)
Number of instances
5000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9233 ± 0.0104
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9146 ± 0.0151
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.5883
Cross-validation details (10-fold Crossvalidation)
Recall
0.9146 ± 0.0151
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8309 ± 0.0254
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3484 ± 0.001
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2865 ± 0.0123
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8222 ± 0.0357
Cross-validation details (10-fold Crossvalidation)