Run
10560003

Run 10560003

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_state41530
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
0.5867 ± 0.0672
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7052 ± 0.0668
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1588 ± 0.1874
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.0652 ± 0.1704
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3054 ± 0.0549
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.363 ± 0.0023
Cross-validation details (10-fold Crossvalidation)
Weighted recall
0.7179 ± 0.0663
Cross-validation details (10-fold Crossvalidation)
Number of instances
748
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.6964 ± 0.0687
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7179 ± 0.0663
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7916 ± 0.0072
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8412 ± 0.1513
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
0.5173 ± 0.0527
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.2148 ± 0.1239
Cross-validation details (10-fold Crossvalidation)
Unweighted recall
0.5734 ± 0.0898
Cross-validation details (10-fold Crossvalidation)