DEVELOPMENT... OpenML
Run
128660

Run 128660

Task 39 (Supervised Classification) sonar 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
0.6941
Per class
Build CPU time
0.0518
Build memory
422500481.0769
F measure
0.6223
Per class
Kappa
0.2407
KB relative information score
58.2425
Mean absolute error
0.3564
Mean prior absolute error
0.4978
Number of instances
208
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6237
Per class
Predictive accuracy
0.625
Prior entropy
0.9968
Recall
0.625
Per class
Relative absolute error
0.7161
Root mean prior squared error
0.4989
Root mean squared error
0.5475
Root relative squared error
1.0976
SciMark benchmark
943.5504