DEVELOPMENT... OpenML
Run
24355

Run 24355

Task 29 (Supervised Classification) credit-approval Uploaded 04-07-2014 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)_I20
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.

19 Evaluation measures

Area under ROC curve
0.8941
Per class
F measure
0.8538
Per class
Kappa
0.7045
KB relative information score
481.7807
Mean absolute error
0.1482
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
0.8543
Per class
Predictive accuracy
0.8536
Prior entropy
0.9913
Recall
0.8536
Per class
Relative absolute error
0.3
Root mean prior squared error
0.497
Root mean squared error
0.3717
Root relative squared error
0.748
SciMark benchmark
893.4063[528.8782864019045961.0747621016069457.10593208272644856.95978650664631663.0125061089916]