DEVELOPMENT... OpenML
Run
128567

Run 128567

Task 3863 (Supervised Classification) hypothyroid 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
0.9926
Per class
Build CPU time
0.0782
Build memory
356979381.9915
F measure
0.9773
Per class
Kappa
0.8427
KB relative information score
2875.2178
Mean absolute error
0.0253
Mean prior absolute error
0.1426
Number of instances
3772
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9777
Per class
Predictive accuracy
0.9769
Prior entropy
0.3928
Recall
0.9769
Per class
Relative absolute error
0.1777
Root mean prior squared error
0.2668
Root mean squared error
0.1405
Root relative squared error
0.5266
SciMark benchmark
943.5504