DEVELOPMENT... OpenML
Run
130042

Run 130042

Task 3060 (Supervised Classification) squash-stored 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)_I80
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
0.6333
Per class
Build CPU time
0.018
Build memory
779777832
F measure
0.5784
Per class
Kappa
0.3
KB relative information score
6.4278
Mean absolute error
0.2717
Mean prior absolute error
0.4164
Number of instances
17
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6353
Per class
Predictive accuracy
0.5882
Prior entropy
1.4782
Recall
0.5882
Per class
Relative absolute error
0.6526
Root mean prior squared error
0.4569
Root mean squared error
0.503
Root relative squared error
1.1007
SciMark benchmark
939.0159

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