Run
7948383

Run 7948383

Task 4453 (Supervised Classification) transplant Uploaded 10-10-2017 by Andreas Mueller
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  • openml-python Sklearn_0.20.dev0.
Issue #Downvotes for this reason By


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_state13924
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
0.9896 ± 0.0326
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.9923 ± 0.0238
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.9835 ± 0.0531
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
1285.6894 ± 0.8116
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.0076 ± 0.023
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4648 ± 0.0081
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
1310
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Precision
0.9925 ± 0.0206
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.9924 ± 0.023
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.9495
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.9924 ± 0.023
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.0164 ± 0.0498
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4818 ± 0.0085
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.0874 ± 0.0833
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.1813 ± 0.1738
Cross-validation details (10 times 10-fold Crossvalidation)