DEVELOPMENT... OpenML
Run
49005

Run 49005

Task 1701 (Learning Curve) anneal Uploaded 06-11-2014 by Jason
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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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.

19 Evaluation measures

Area under ROC curve
0.9523 ± 0.0201
Per class
Build CPU time
0.0046
Build memory
1885608940.5333
Kappa
0.4525 ± 0.1
KB relative information score
0.4239 ± 0.0637
Mean absolute error
0.0935 ± 0.0082
Mean prior absolute error
0.1343 ± 0.0013
Number of instances
898
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Predictive accuracy
0.8385 ± 0.0204
Prior entropy
1.1915 ± 0.026
Recall
0.8385 ± 0.0204
Per class
Relative absolute error
0.6959 ± 0.0613
Root mean prior squared error
0.2582 ± 0.0024
Root mean squared error
0.189 ± 0.0089
Root relative squared error
0.7321 ± 0.0326
SciMark benchmark
1655.4655

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