DEVELOPMENT... OpenML
Run
20726

Run 20726

Task 29 (Supervised Classification) credit-approval Uploaded 18-06-2014 by Felicia West
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Flow

weka.AdaBoostM1_BFTree(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_BFTree(1)_I160
weka.AdaBoostM1_BFTree(1)_P100
weka.AdaBoostM1_BFTree(1)_S1
weka.AdaBoostM1_BFTree(1)_Wweka.classifiers.trees.BFTree
weka.BFTree(1)_Ctrue
weka.BFTree(1)_M2
weka.BFTree(1)_N5
weka.BFTree(1)_PPOSTPRUNED
weka.BFTree(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
0.8866
Per class
F measure
0.8755
Per class
Kappa
0.7485
KB relative information score
512.5904
Mean absolute error
0.1265
Mean prior absolute error
0.494
Number of instances
690
Per class
Precision
0.8761
Per class
Predictive accuracy
0.8754
Prior entropy
0.9913
Recall
0.8754
Per class
Relative absolute error
0.2561
Root mean prior squared error
0.497
Root mean squared error
0.3536
Root relative squared error
0.7115