DEVELOPMENT... OpenML
Run
125843

Run 125843

Task 3059 (Supervised Classification) pasture 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
0.874
Per class
Build CPU time
0.002
Build memory
644988872
F measure
0.6534
Per class
Kappa
0.443
KB relative information score
6.0111
Mean absolute error
0.2182
Mean prior absolute error
0.4444
Number of instances
11
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.75
Per class
Predictive accuracy
0.6364
Prior entropy
1.585
Recall
0.6364
Per class
Relative absolute error
0.4909
Root mean prior squared error
0.4714
Root mean squared error
0.4424
Root relative squared error
0.9385
SciMark benchmark
943.2074