Run
10587934

Run 10587934

Task 10101 (Supervised Classification) blood-transfusion-service-center Uploaded 08-09-2022 by Sharath Kumar Reddy Alijarla
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Flow

sklearn.tree._classes.DecisionTreeClassifier(29)A decision tree classifier.
sklearn.tree._classes.DecisionTreeClassifier(29)_ccp_alpha0.0
sklearn.tree._classes.DecisionTreeClassifier(29)_class_weightnull
sklearn.tree._classes.DecisionTreeClassifier(29)_criterion"gini"
sklearn.tree._classes.DecisionTreeClassifier(29)_max_depthnull
sklearn.tree._classes.DecisionTreeClassifier(29)_max_featuresnull
sklearn.tree._classes.DecisionTreeClassifier(29)_max_leaf_nodesnull
sklearn.tree._classes.DecisionTreeClassifier(29)_min_impurity_decrease0.0
sklearn.tree._classes.DecisionTreeClassifier(29)_min_impurity_splitnull
sklearn.tree._classes.DecisionTreeClassifier(29)_min_samples_leaf1
sklearn.tree._classes.DecisionTreeClassifier(29)_min_samples_split2
sklearn.tree._classes.DecisionTreeClassifier(29)_min_weight_fraction_leaf0.0
` for details">sklearn.tree._classes.DecisionTreeClassifier(29)_random_state0
sklearn.tree._classes.DecisionTreeClassifier(29)_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
0.581 ± 0.0536
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7014 ± 0.0616
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1487 ± 0.1667
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.0518 ± 0.1618
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3096 ± 0.0532
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.363 ± 0.0023
Cross-validation details (10-fold Crossvalidation)
Weighted recall
0.7139 ± 0.063
Cross-validation details (10-fold Crossvalidation)
Number of instances
748
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.6925 ± 0.0626
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7139 ± 0.063
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7916 ± 0.0072
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8528 ± 0.145
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
0.5214 ± 0.05
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.2244 ± 0.1156
Cross-validation details (10-fold Crossvalidation)
Unweighted recall
0.5689 ± 0.0775
Cross-validation details (10-fold Crossvalidation)