DEVELOPMENT... OpenML
Run
127918

Run 127918

Task 3812 (Supervised Classification) arsenic-female-bladder 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
0.805
Per class
Build CPU time
0.0181
Build memory
2395343310.8694
F measure
0.8308
Per class
Kappa
0.2921
KB relative information score
21.8464
Mean absolute error
0.1803
Mean prior absolute error
0.2462
Number of instances
559
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8268
Per class
Predictive accuracy
0.8354
Prior entropy
0.5956
Recall
0.8354
Per class
Relative absolute error
0.7325
Root mean prior squared error
0.3502
Root mean squared error
0.3378
Root relative squared error
0.9646
SciMark benchmark
943.5504