Run
9864518

Run 9864518

Task 3918 (Supervised Classification) pc1 Uploaded 06-12-2018 by Hugo Spee
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  • auto-jupyter-notebook openml-python Sklearn_0.19.1.
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Flow

sklearn.tree.tree.DecisionTreeClassifier(22)Automatically created scikit-learn flow.
sklearn.tree.tree.DecisionTreeClassifier(22)_class_weightnull
sklearn.tree.tree.DecisionTreeClassifier(22)_criterion"gini"
sklearn.tree.tree.DecisionTreeClassifier(22)_max_depthnull
sklearn.tree.tree.DecisionTreeClassifier(22)_max_featuresnull
sklearn.tree.tree.DecisionTreeClassifier(22)_max_leaf_nodesnull
sklearn.tree.tree.DecisionTreeClassifier(22)_min_impurity_decrease0.0
sklearn.tree.tree.DecisionTreeClassifier(22)_min_impurity_splitnull
sklearn.tree.tree.DecisionTreeClassifier(22)_min_samples_leaf1
sklearn.tree.tree.DecisionTreeClassifier(22)_min_samples_split2
sklearn.tree.tree.DecisionTreeClassifier(22)_min_weight_fraction_leaf0.0
sklearn.tree.tree.DecisionTreeClassifier(22)_presortfalse
sklearn.tree.tree.DecisionTreeClassifier(22)_random_state12779
sklearn.tree.tree.DecisionTreeClassifier(22)_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
0.656 ± 0.0972
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9087 ± 0.0251
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.291 ± 0.1791
Cross-validation details (10-fold Crossvalidation)
KB relative information score
7.8028 ± 36.1299
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0915 ± 0.0289
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1299 ± 0.0037
Cross-validation details (10-fold Crossvalidation)
Number of instances
1109
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9084 ± 0.0225
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9089 ± 0.0286
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.3667
Cross-validation details (10-fold Crossvalidation)
Recall
0.9089 ± 0.0286
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7046 ± 0.2308
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2542 ± 0.0073
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3007 ± 0.0488
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.1828 ± 0.2029
Cross-validation details (10-fold Crossvalidation)