DEVELOPMENT... OpenML
Run
15733

Run 15733

Task 29 (Supervised Classification) credit-approval Uploaded 04-06-2014 by Felicia West
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Flow

weka.MultiBoostAB_RandomTree(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_RandomTree(1)_C3
weka.MultiBoostAB_RandomTree(1)_I10
weka.MultiBoostAB_RandomTree(1)_P100
weka.MultiBoostAB_RandomTree(1)_S1
weka.MultiBoostAB_RandomTree(1)_Wweka.classifiers.trees.RandomTree
weka.RandomTree(1)_K0
weka.RandomTree(1)_M1.0
weka.RandomTree(1)_S1

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
0.8831
Per class
F measure
0.8606
Per class
Kappa
0.7174
KB relative information score
491.4698
Mean absolute error
0.1416
Mean prior absolute error
0.494
Number of instances
690
Per class
Precision
0.8607
Per class
Predictive accuracy
0.8609
Prior entropy
0.9913
Recall
0.8609
Per class
Relative absolute error
0.2867
Root mean prior squared error
0.497
Root mean squared error
0.3653
Root relative squared error
0.735