DEVELOPMENT... OpenML
Run
126326

Run 126326

Task 284 (Supervised Classification) hepatitis 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)_I40
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
0.7611
Per class
Build CPU time
0.015
Build memory
592735152
F measure
0.7869
Per class
Kappa
0.4462
KB relative information score
15.1253
Mean absolute error
0.2348
Mean prior absolute error
0.3579
Number of instances
51
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7901
Per class
Predictive accuracy
0.7843
Prior entropy
0.7418
Recall
0.7843
Per class
Relative absolute error
0.656
Root mean prior squared error
0.4381
Root mean squared error
0.4597
Root relative squared error
1.0494
SciMark benchmark
929.5397