DEVELOPMENT... OpenML
Run
127950

Run 127950

Task 3849 (Supervised Classification) analcatdata_marketing 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
0.5163
Per class
Build CPU time
0.0244
Build memory
1656774465.2528
F measure
0.5649
Per class
Kappa
-0.0089
KB relative information score
-20.7707
Mean absolute error
0.4303
Mean prior absolute error
0.4326
Number of instances
364
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5639
Per class
Predictive accuracy
0.5659
Prior entropy
0.901
Recall
0.5659
Per class
Relative absolute error
0.9948
Root mean prior squared error
0.4649
Root mean squared error
0.5786
Root relative squared error
1.2446
SciMark benchmark
943.5504