DEVELOPMENT... OpenML
Run
130831

Run 130831

Task 3715 (Supervised Classification) fri_c0_100_50 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
0.5856
Per class
Build CPU time
0.1794
Build memory
701217224.8
F measure
0.58
Per class
Kappa
0.1603
KB relative information score
15.1053
Mean absolute error
0.4246
Mean prior absolute error
0.4998
Number of instances
100
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5805
Per class
Predictive accuracy
0.58
Prior entropy
0.9997
Recall
0.58
Per class
Relative absolute error
0.8496
Root mean prior squared error
0.4999
Root mean squared error
0.6427
Root relative squared error
1.2856
SciMark benchmark
927.3354

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