DEVELOPMENT... OpenML
Run
128496

Run 128496

Task 3789 (Supervised Classification) fri_c0_500_25 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
0.7235
Per class
Build CPU time
0.0298
Build memory
936592118.4
F measure
0.674
Per class
Kappa
0.3479
KB relative information score
150.5184
Mean absolute error
0.353
Mean prior absolute error
0.4998
Number of instances
500
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6741
Per class
Predictive accuracy
0.674
Prior entropy
0.9997
Recall
0.674
Per class
Relative absolute error
0.7063
Root mean prior squared error
0.4999
Root mean squared error
0.5077
Root relative squared error
1.0157
SciMark benchmark
909.5718

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