Run
10587713

Run 10587713

Task 10101 (Supervised Classification) blood-transfusion-service-center Uploaded 11-03-2022 by Pieter Gijsbers
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Flow

sklearn.tree._classes.DecisionTreeClassifier(20)A decision tree classifier.
sklearn.tree._classes.DecisionTreeClassifier(20)_ccp_alpha0.0
sklearn.tree._classes.DecisionTreeClassifier(20)_class_weightnull
sklearn.tree._classes.DecisionTreeClassifier(20)_criterion"gini"
sklearn.tree._classes.DecisionTreeClassifier(20)_max_depthnull
sklearn.tree._classes.DecisionTreeClassifier(20)_max_featuresnull
sklearn.tree._classes.DecisionTreeClassifier(20)_max_leaf_nodesnull
sklearn.tree._classes.DecisionTreeClassifier(20)_min_impurity_decrease0.0
sklearn.tree._classes.DecisionTreeClassifier(20)_min_impurity_splitnull
sklearn.tree._classes.DecisionTreeClassifier(20)_min_samples_leaf1
sklearn.tree._classes.DecisionTreeClassifier(20)_min_samples_split2
sklearn.tree._classes.DecisionTreeClassifier(20)_min_weight_fraction_leaf0.0
` for details">sklearn.tree._classes.DecisionTreeClassifier(20)_random_state36147
sklearn.tree._classes.DecisionTreeClassifier(20)_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
0.5882 ± 0.0636
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7032 ± 0.0629
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1544 ± 0.1734
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.0609 ± 0.1763
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3069 ± 0.0566
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.363 ± 0.0023
Cross-validation details (10-fold Crossvalidation)
Weighted recall
0.7152 ± 0.0646
Cross-validation details (10-fold Crossvalidation)
Number of instances
748
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.6946 ± 0.0634
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7152 ± 0.0646
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7916 ± 0.0072
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8455 ± 0.1558
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
0.5188 ± 0.0544
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.2184 ± 0.1275
Cross-validation details (10-fold Crossvalidation)
Unweighted recall
0.5717 ± 0.0827
Cross-validation details (10-fold Crossvalidation)