DEVELOPMENT... OpenML
Run
125979

Run 125979

Task 3650 (Supervised Classification) wind_correlations 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
0.9595
Per class
Build CPU time
0.0328
Build memory
1952490215.1111
F measure
0.9556
Per class
Kappa
0.9111
KB relative information score
39.2611
Mean absolute error
0.0666
Mean prior absolute error
0.4998
Number of instances
45
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9556
Per class
Predictive accuracy
0.9556
Prior entropy
0.9997
Recall
0.9556
Per class
Relative absolute error
0.1333
Root mean prior squared error
0.4999
Root mean squared error
0.2182
Root relative squared error
0.4366
SciMark benchmark
937.9119