DEVELOPMENT... OpenML
Run
107725

Run 107725

Task 3668 (Supervised Classification) delta_ailerons 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)_I40
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
0.9616
Per class
Build CPU time
27.246
Build memory
1067353925.6692
F measure
0.9391
Per class
Kappa
0.8777
KB relative information score
6246.6545
Mean absolute error
0.0616
Mean prior absolute error
0.4981
Number of instances
7129
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9391
Per class
Predictive accuracy
0.9391
Prior entropy
0.9973
Recall
0.9391
Per class
Relative absolute error
0.1237
Root mean prior squared error
0.4991
Root mean squared error
0.2418
Root relative squared error
0.4846
SciMark benchmark
940.9619