DEVELOPMENT... OpenML
Run
126120

Run 126120

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)_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
0.8045
Per class
Build CPU time
0.0409
Build memory
1003895169.6458
F measure
0.8321
Per class
Kappa
0.2959
KB relative information score
32.0705
Mean absolute error
0.178
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
0.8279
Per class
Predictive accuracy
0.8372
Prior entropy
0.5956
Recall
0.8372
Per class
Relative absolute error
0.7229
Root mean prior squared error
0.3502
Root mean squared error
0.3376
Root relative squared error
0.964
SciMark benchmark
908.8705