DEVELOPMENT... OpenML
Run
126130

Run 126130

Task 3821 (Supervised Classification) segment 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
0.9502
Per class
Build CPU time
0.3618
Build memory
1437131380.8
F measure
0.8599
Per class
Kappa
0.5519
KB relative information score
361.7684
Mean absolute error
0.1748
Mean prior absolute error
0.2451
Number of instances
2310
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9233
Per class
Predictive accuracy
0.8394
Prior entropy
0.5925
Recall
0.8394
Per class
Relative absolute error
0.7132
Root mean prior squared error
0.3499
Root mean squared error
0.3355
Root relative squared error
0.9588
SciMark benchmark
943.5504