DEVELOPMENT... OpenML
Run
125830

Run 125830

Task 3044 (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)_I80
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
0.9352
Per class
Build CPU time
0.398
Build memory
490604432
F measure
0.93
Per class
Kappa
0.5723
KB relative information score
105.4394
Mean absolute error
0.0478
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
0.944
Per class
Predictive accuracy
0.9212
Prior entropy
0.4715
Recall
0.9212
Per class
Relative absolute error
0.6498
Root mean prior squared error
0.1923
Root mean squared error
0.1566
Root relative squared error
0.8144
SciMark benchmark
909.5718