DEVELOPMENT... OpenML
Run
130629

Run 130629

Task 3044 (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)_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
0.9367
Per class
Build CPU time
0.987
Build memory
542021272
F measure
0.9636
Per class
Kappa
0.7577
KB relative information score
835.0248
Mean absolute error
0.0185
Mean prior absolute error
0.0736
Number of instances
1244
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9635
Per class
Predictive accuracy
0.9638
Prior entropy
0.4715
Recall
0.9638
Per class
Relative absolute error
0.2515
Root mean prior squared error
0.1923
Root mean squared error
0.1326
Root relative squared error
0.6898
SciMark benchmark
927.3354