DEVELOPMENT... OpenML
Run
128683

Run 128683

Task 237 (Supervised Classification) audiology Uploaded 25-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_OneR(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_OneR(2)_I20
weka.AdaBoostM1_OneR(2)_P100
weka.AdaBoostM1_OneR(2)_S1
weka.AdaBoostM1_OneR(2)_Wweka.classifiers.rules.OneR
weka.OneR(3)_B6

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
0.6224
Per class
Build CPU time
0.002
Build memory
1228799224
F measure
0.2244
Per class
Kappa
0.2395
KB relative information score
15.9829
Mean absolute error
0.0518
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
0.1659
Per class
Predictive accuracy
0.3784
Prior entropy
3.6349
Recall
0.3784
Per class
Relative absolute error
0.7036
Root mean prior squared error
0.1925
Root mean squared error
0.2276
Root relative squared error
1.1821
SciMark benchmark
909.5718

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