DEVELOPMENT... OpenML
Run
127592

Run 127592

Task 2079 (Supervised Classification) eucalyptus 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)_I10
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
0.7587
Per class
Build CPU time
0.1856
Build memory
550933340.0652
F measure
0.5946
Per class
Kappa
0.4804
KB relative information score
152.5658
Mean absolute error
0.2816
Mean prior absolute error
0.3132
Number of instances
736
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6578
Per class
Predictive accuracy
0.5951
Prior entropy
2.2629
Recall
0.5951
Per class
Relative absolute error
0.8992
Root mean prior squared error
0.3957
Root mean squared error
0.3619
Root relative squared error
0.9146
SciMark benchmark
937.9119