DEVELOPMENT... OpenML
Run
19109

Run 19109

Task 29 (Supervised Classification) credit-approval Uploaded 12-06-2014 by Felicia West
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Flow

weka.MultiBoostAB_BFTree(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.BFTree(1)_Ctrue
weka.BFTree(1)_M2
weka.BFTree(1)_N5
weka.BFTree(1)_PPOSTPRUNED
weka.BFTree(1)_S1
weka.MultiBoostAB_BFTree(1)_C3
weka.MultiBoostAB_BFTree(1)_I40
weka.MultiBoostAB_BFTree(1)_P100
weka.MultiBoostAB_BFTree(1)_S1
weka.MultiBoostAB_BFTree(1)_Wweka.classifiers.trees.BFTree

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.

19 Evaluation measures

Area under ROC curve
0.9036
Per class
F measure
0.8726
Per class
Kappa
0.7423
KB relative information score
511.8077
Mean absolute error
0.1268
Mean prior absolute error
0.494
Number of instances
690
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8728
Per class
Predictive accuracy
0.8725
Prior entropy
0.9913
Recall
0.8725
Per class
Relative absolute error
0.2567
Root mean prior squared error
0.497
Root mean squared error
0.3529
Root relative squared error
0.7101
SciMark benchmark
941.754[553.37584626982781012.0561783624415481.49857166643204902.38899339674911759.4502550697425]