DEVELOPMENT... OpenML
Run
106311

Run 106311

Task 237 (Supervised Classification) audiology 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)_I10
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
0.9233
Per class
Build CPU time
1.443
Build memory
1391711296
F measure
0.6777
Per class
Kappa
0.6908
KB relative information score
48.4997
Mean absolute error
0.0239
Mean prior absolute error
0.0736
Number of instances
74
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6493
Per class
Predictive accuracy
0.7297
Prior entropy
3.6349
Recall
0.7297
Per class
Relative absolute error
0.324
Root mean prior squared error
0.1925
Root mean squared error
0.1426
Root relative squared error
0.7408
SciMark benchmark
945.384