DEVELOPMENT... OpenML
Run
127966

Run 127966

Task 3863 (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)_I10
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
0.8434
Per class
Build CPU time
0.3273
Build memory
1992607088.123
F measure
0.9421
Per class
Kappa
0.5462
KB relative information score
428.9626
Mean absolute error
0.0874
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
0.9452
Per class
Predictive accuracy
0.9496
Prior entropy
0.3928
Recall
0.9496
Per class
Relative absolute error
0.6133
Root mean prior squared error
0.2668
Root mean squared error
0.2135
Root relative squared error
0.8
SciMark benchmark
943.5504