Run
7948381

Run 7948381

Task 4449 (Supervised Classification) mu284 Uploaded 10-10-2017 by Andreas Mueller
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  • openml-python Sklearn_0.20.dev0.
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Flow

sklearn.tree.tree.DecisionTreeClassifier(16)Automatically created scikit-learn flow.
sklearn.tree.tree.DecisionTreeClassifier(16)_class_weightnull
sklearn.tree.tree.DecisionTreeClassifier(16)_criterion"gini"
sklearn.tree.tree.DecisionTreeClassifier(16)_max_depthnull
sklearn.tree.tree.DecisionTreeClassifier(16)_max_featuresnull
sklearn.tree.tree.DecisionTreeClassifier(16)_max_leaf_nodes2
sklearn.tree.tree.DecisionTreeClassifier(16)_min_impurity_decrease0.0
sklearn.tree.tree.DecisionTreeClassifier(16)_min_impurity_splitnull
sklearn.tree.tree.DecisionTreeClassifier(16)_min_samples_leaf1
sklearn.tree.tree.DecisionTreeClassifier(16)_min_samples_split2
sklearn.tree.tree.DecisionTreeClassifier(16)_min_weight_fraction_leaf0.0
sklearn.tree.tree.DecisionTreeClassifier(16)_presortfalse
sklearn.tree.tree.DecisionTreeClassifier(16)_random_state64750
sklearn.tree.tree.DecisionTreeClassifier(16)_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
0.9965 ± 0.0106
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.9965 ± 0.0106
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.993 ± 0.0212
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
2820 ± 0.7785
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.0035 ± 0.0106
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.5
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
2840
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Precision
0.9965 ± 0.0099
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.9965 ± 0.0106
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
1
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.9965 ± 0.0106
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.007 ± 0.0212
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.5
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.0593 ± 0.0566
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.1187 ± 0.1132
Cross-validation details (10 times 10-fold Crossvalidation)