DEVELOPMENT... OpenML
Run
127357

Run 127357

Task 3854 (Supervised Classification) car 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)_I20
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
0.9828
Per class
Build CPU time
0.0562
Build memory
1918027563.5833
F measure
0.9409
Per class
Kappa
0.8589
KB relative information score
1439.7495
Mean absolute error
0.0683
Mean prior absolute error
0.4199
Number of instances
1728
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9408
Per class
Predictive accuracy
0.941
Prior entropy
0.8813
Recall
0.941
Per class
Relative absolute error
0.1628
Root mean prior squared error
0.4582
Root mean squared error
0.2211
Root relative squared error
0.4826
SciMark benchmark
937.9119

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