DEVELOPMENT... OpenML
Run
130622

Run 130622

Task 3011 (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
0.9477
Per class
Build CPU time
1.314
Build memory
604141169.2386
F measure
0.9615
Per class
Kappa
0.7289
KB relative information score
2461.3867
Mean absolute error
0.0187
Mean prior absolute error
0.0729
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
0.9613
Per class
Predictive accuracy
0.9621
Prior entropy
0.4715
Recall
0.9621
Per class
Relative absolute error
0.257
Root mean prior squared error
0.1904
Root mean squared error
0.1327
Root relative squared error
0.6967
SciMark benchmark
927.3354