DEVELOPMENT... OpenML
Run
126333

Run 126333

Task 1768 (Supervised Classification) labor 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
0.8774
Per class
Build CPU time
0.0019
Build memory
916325648.1965
F measure
0.8657
Per class
Kappa
0.7032
KB relative information score
187.6243
Mean absolute error
0.151
Mean prior absolute error
0.457
Number of instances
285
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8655
Per class
Predictive accuracy
0.8667
Prior entropy
0.9393
Recall
0.8667
Per class
Relative absolute error
0.3303
Root mean prior squared error
0.4773
Root mean squared error
0.362
Root relative squared error
0.7584
SciMark benchmark
943.2074