DEVELOPMENT... OpenML
Run
125225

Run 125225

Task 3011 (Supervised Classification) hypothyroid Uploaded 25-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_NaiveBayes(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_NaiveBayes(2)_I160
weka.AdaBoostM1_NaiveBayes(2)_P100
weka.AdaBoostM1_NaiveBayes(2)_S1
weka.AdaBoostM1_NaiveBayes(2)_Wweka.classifiers.bayes.NaiveBayes

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
0.8573
Per class
Build CPU time
0.5247
Build memory
912128264.2481
F measure
0.9461
Per class
Kappa
0.61
KB relative information score
-1341.6359
Mean absolute error
0.065
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
0.9472
Per class
Predictive accuracy
0.9533
Prior entropy
0.4715
Recall
0.9533
Per class
Relative absolute error
0.8926
Root mean prior squared error
0.1904
Root mean squared error
0.1521
Root relative squared error
0.7988
SciMark benchmark
943.2074