DEVELOPMENT... OpenML
Run
130604

Run 130604

Task 2125 (Supervised Classification) eucalyptus 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)_I160
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
0.7786
Per class
Build CPU time
0.008
Build memory
257746424
F measure
0.5843
Per class
Kappa
0.4681
KB relative information score
27.2747
Mean absolute error
0.302
Mean prior absolute error
0.3134
Number of instances
242
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6332
Per class
Predictive accuracy
0.595
Prior entropy
2.2629
Recall
0.595
Per class
Relative absolute error
0.9638
Root mean prior squared error
0.3959
Root mean squared error
0.3793
Root relative squared error
0.958
SciMark benchmark
927.3354