Run
9891781

Run 9891781

Task 6 (Supervised Classification) letter Uploaded 07-12-2018 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_state11718
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
0.9385 ± 0.0038
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8819 ± 0.0074
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.877 ± 0.0077
Cross-validation details (10-fold Crossvalidation)
KB relative information score
17604.9939 ± 14.8884
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0091 ± 0.0006
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.074 ± 0
Cross-validation details (10-fold Crossvalidation)
Number of instances
20000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8821 ± 0.0073
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8818 ± 0.0074
Cross-validation details (10-fold Crossvalidation)
Prior entropy
4.6998
Cross-validation details (10-fold Crossvalidation)
Recall
0.8818 ± 0.0074
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.123 ± 0.0077
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1923 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0954 ± 0.0029
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.496 ± 0.0153
Cross-validation details (10-fold Crossvalidation)