Run
9896955

Run 9896955

Task 145804 (Supervised Classification) tic-tac-toe 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_state2183
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
0.8612 ± 0.0375
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8765 ± 0.0331
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7265 ± 0.073
Cross-validation details (10-fold Crossvalidation)
KB relative information score
686.2725 ± 7.5793
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1232 ± 0.033
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.453 ± 0.0013
Cross-validation details (10-fold Crossvalidation)
Number of instances
958
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8762 ± 0.0321
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8768 ± 0.033
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9312
Cross-validation details (10-fold Crossvalidation)
Recall
0.8768 ± 0.033
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2719 ± 0.0731
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4759 ± 0.0014
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.351 ± 0.0463
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7375 ± 0.0977
Cross-validation details (10-fold Crossvalidation)