DEVELOPMENT... OpenML
Run
24671

Run 24671

Task 11 (Supervised Classification) balance-scale Uploaded 15-07-2014 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)_I10
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
0.942
Per class
F measure
0.7963
Per class
Kappa
0.6207
KB relative information score
348.9956
Mean absolute error
0.1486
Mean prior absolute error
0.3798
Number of instances
625
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8167
Per class
Predictive accuracy
0.7776
Prior entropy
1.3212
Recall
0.7776
Per class
Relative absolute error
0.3913
Root mean prior squared error
0.4356
Root mean squared error
0.3644
Root relative squared error
0.8366
SciMark benchmark
944.0979[560.66879002876651013.919993711725478.92144908848445911.48812543402991755.4912331040343]