Run
10591697

Run 10591697

Task 10101 (Supervised Classification) blood-transfusion-service-center Uploaded 15-11-2022 by Laurens Krudde
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Flow

sklearn.tree._classes.DecisionTreeClassifier(30)A decision tree classifier.
sklearn.tree._classes.DecisionTreeClassifier(30)_ccp_alpha0.0
sklearn.tree._classes.DecisionTreeClassifier(30)_class_weightnull
sklearn.tree._classes.DecisionTreeClassifier(30)_criterion"gini"
sklearn.tree._classes.DecisionTreeClassifier(30)_max_depthnull
sklearn.tree._classes.DecisionTreeClassifier(30)_max_featuresnull
sklearn.tree._classes.DecisionTreeClassifier(30)_max_leaf_nodesnull
sklearn.tree._classes.DecisionTreeClassifier(30)_min_impurity_decrease0.0
sklearn.tree._classes.DecisionTreeClassifier(30)_min_samples_leaf1
sklearn.tree._classes.DecisionTreeClassifier(30)_min_samples_split2
sklearn.tree._classes.DecisionTreeClassifier(30)_min_weight_fraction_leaf0.0
` for details">sklearn.tree._classes.DecisionTreeClassifier(30)_random_state337
sklearn.tree._classes.DecisionTreeClassifier(30)_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
0.578 ± 0.0614
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6966 ± 0.0511
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1364 ± 0.1348
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.0401 ± 0.1531
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3136 ± 0.0494
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.363 ± 0.0023
Cross-validation details (10-fold Crossvalidation)
Weighted recall
0.7086 ± 0.0543
Cross-validation details (10-fold Crossvalidation)
Number of instances
748
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.6878 ± 0.0506
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7086 ± 0.0543
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7916 ± 0.0072
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8639 ± 0.1348
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
0.5253 ± 0.0466
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.2335 ± 0.1081
Cross-validation details (10-fold Crossvalidation)
Unweighted recall
0.5634 ± 0.0629
Cross-validation details (10-fold Crossvalidation)