Run
7948364

Run 7948364

Task 3644 (Supervised Classification) bodyfat 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_state63414
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
0.996 ± 0.0132
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.996 ± 0.0127
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9921 ± 0.0254
Cross-validation details (10-fold Crossvalidation)
KB relative information score
249.9986 ± 0.8232
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.004 ± 0.0126
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4999 ± 0.0003
Cross-validation details (10-fold Crossvalidation)
Number of instances
252
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9961 ± 0.0117
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.996 ± 0.0126
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9998
Cross-validation details (10-fold Crossvalidation)
Recall
0.996 ± 0.0126
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0079 ± 0.0253
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4999 ± 0.0003
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.063 ± 0.0632
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.126 ± 0.1266
Cross-validation details (10-fold Crossvalidation)