DEVELOPMENT... OpenML
Run
108296

Run 108296

Task 3794 (Supervised Classification) disclosure_z Uploaded 09-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_BFTree(2)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(2)_I80
weka.AdaBoostM1_BFTree(2)_P100
weka.AdaBoostM1_BFTree(2)_S1
weka.AdaBoostM1_BFTree(2)_Wweka.classifiers.trees.BFTree
weka.BFTree(2)_Ctrue
weka.BFTree(2)_M2
weka.BFTree(2)_N5
weka.BFTree(2)_PPOSTPRUNED
weka.BFTree(2)_S1

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

21 Evaluation measures

Area under ROC curve
0.5113
Per class
Build CPU time
3.2441
Build memory
1228381929.3293
F measure
0.5009
Per class
Kappa
-0.0015
KB relative information score
0.5079
Mean absolute error
0.4974
Mean prior absolute error
0.4987
Number of instances
662
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5006
Per class
Predictive accuracy
0.5015
Prior entropy
0.9981
Recall
0.5015
Per class
Relative absolute error
0.9974
Root mean prior squared error
0.4993
Root mean squared error
0.6915
Root relative squared error
1.3849
SciMark benchmark
923.019