Run
23135

Run 23135

Task 37 (Supervised Classification) diabetes Uploaded 24-06-2014 by Joaquin Vanschoren
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Flow

weka.AdaBoostM1_REPTree(1)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_REPTree(1)_I10
weka.AdaBoostM1_REPTree(1)_P100
weka.AdaBoostM1_REPTree(1)_S1
weka.AdaBoostM1_REPTree(1)_Wweka.classifiers.trees.REPTree
weka.REPTree(1)_I0.0
weka.REPTree(1)_L-1
weka.REPTree(1)_M2
weka.REPTree(1)_N3
weka.REPTree(1)_S1
weka.REPTree(1)_V0.001

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.

17 Evaluation measures

Area under ROC curve
0.7703
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7315
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4041
Cross-validation details (10-fold Crossvalidation)
KB relative information score
269.1919
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2891
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4545
Cross-validation details (10-fold Crossvalidation)
Number of instances
768
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.73
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7344
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9335
Cross-validation details (10-fold Crossvalidation)
Recall
0.7344
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.636
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4766
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4632
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9718
Cross-validation details (10-fold Crossvalidation)