DEVELOPMENT... OpenML
Run
130522

Run 130522

Task 281 (Supervised Classification) trains 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
0.5
Per class
Build CPU time
0.008
Build memory
29988872
F measure
0.3333
Per class
Kappa
-0.5
KB relative information score
-0.9537
Mean absolute error
0.6562
Mean prior absolute error
0.5
Number of instances
3
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.3333
Per class
Predictive accuracy
0.3333
Prior entropy
1
Recall
0.3333
Per class
Relative absolute error
1.3124
Root mean prior squared error
0.5
Root mean squared error
0.8019
Root relative squared error
1.6039
SciMark benchmark
927.3354

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