DEVELOPMENT... OpenML
Run
128030

Run 128030

Task 7 (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)_I10
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
0.6549
Per class
Build CPU time
0.0011
Build memory
1295286786.6903
F measure
0.305
Per class
Kappa
0.3059
KB relative information score
61.1895
Mean absolute error
0.0446
Mean prior absolute error
0.0724
Number of instances
226
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.2323
Per class
Predictive accuracy
0.4646
Prior entropy
3.6349
Recall
0.4646
Per class
Relative absolute error
0.6163
Root mean prior squared error
0.1893
Root mean squared error
0.2112
Root relative squared error
1.1158
SciMark benchmark
929.5397