Run
10559977

Run 10559977

Task 10101 (Supervised Classification) blood-transfusion-service-center Uploaded 13-08-2021 by Sergey Redyuk
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Flow

sklearn.tree.tree.DecisionTreeClassifier(65)A decision tree classifier.
sklearn.tree.tree.DecisionTreeClassifier(65)_class_weightnull
sklearn.tree.tree.DecisionTreeClassifier(65)_criterion"gini"
sklearn.tree.tree.DecisionTreeClassifier(65)_max_depthnull
sklearn.tree.tree.DecisionTreeClassifier(65)_max_featuresnull
sklearn.tree.tree.DecisionTreeClassifier(65)_max_leaf_nodesnull
sklearn.tree.tree.DecisionTreeClassifier(65)_min_impurity_split1e-07
sklearn.tree.tree.DecisionTreeClassifier(65)_min_samples_leaf1
sklearn.tree.tree.DecisionTreeClassifier(65)_min_samples_split2
sklearn.tree.tree.DecisionTreeClassifier(65)_min_weight_fraction_leaf0.0
sklearn.tree.tree.DecisionTreeClassifier(65)_presortfalse
sklearn.tree.tree.DecisionTreeClassifier(65)_random_state32884
sklearn.tree.tree.DecisionTreeClassifier(65)_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.

18 Evaluation measures

Area under ROC curve
0.602 ± 0.0765
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7164 ± 0.0718
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1907 ± 0.2027
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.096 ± 0.1819
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2954 ± 0.0588
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.363 ± 0.0023
Cross-validation details (10-fold Crossvalidation)
Weighted recall
0.7286 ± 0.0702
Cross-validation details (10-fold Crossvalidation)
Number of instances
748
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7082 ± 0.074
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7286 ± 0.0702
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7916 ± 0.0072
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8136 ± 0.1617
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
0.5079 ± 0.0584
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.1926 ± 0.1366
Cross-validation details (10-fold Crossvalidation)
Unweighted recall
0.5882 ± 0.0981
Cross-validation details (10-fold Crossvalidation)