Run
10559794

Run 10559794

Task 10101 (Supervised Classification) blood-transfusion-service-center Uploaded 10-03-2021 by Prabhant Singh
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  • openml-python Sklearn_0.22.2.post1.
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Flow

sklearn.tree._classes.DecisionTreeClassifier(14)A decision tree classifier.
sklearn.tree._classes.DecisionTreeClassifier(14)_ccp_alpha0.0
sklearn.tree._classes.DecisionTreeClassifier(14)_class_weightnull
sklearn.tree._classes.DecisionTreeClassifier(14)_criterion"gini"
sklearn.tree._classes.DecisionTreeClassifier(14)_max_depth2
sklearn.tree._classes.DecisionTreeClassifier(14)_max_featuresnull
sklearn.tree._classes.DecisionTreeClassifier(14)_max_leaf_nodesnull
sklearn.tree._classes.DecisionTreeClassifier(14)_min_impurity_decrease0.0
sklearn.tree._classes.DecisionTreeClassifier(14)_min_impurity_splitnull
sklearn.tree._classes.DecisionTreeClassifier(14)_min_samples_leaf1
sklearn.tree._classes.DecisionTreeClassifier(14)_min_samples_split2
sklearn.tree._classes.DecisionTreeClassifier(14)_min_weight_fraction_leaf0.0
sklearn.tree._classes.DecisionTreeClassifier(14)_presort"deprecated"
sklearn.tree._classes.DecisionTreeClassifier(14)_random_state0
sklearn.tree._classes.DecisionTreeClassifier(14)_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.

16 Evaluation measures

Area under ROC curve
0.7109 ± 0.0415
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.09 ± 0.0403
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3145 ± 0.01
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.363 ± 0.0023
Cross-validation details (10-fold Crossvalidation)
Weighted recall
0.762 ± 0.0043
Cross-validation details (10-fold Crossvalidation)
Number of instances
748
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.762 ± 0.0043
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7916 ± 0.0072
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8662 ± 0.0255
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4258 ± 0.0027
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3976 ± 0.0119
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9336 ± 0.026
Cross-validation details (10-fold Crossvalidation)
Unweighted recall
0.5
Cross-validation details (10-fold Crossvalidation)