DEVELOPMENT... OpenML
Run
126501

Run 126501

Task 3563 (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)_I40
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
0.6061
Per class
Build CPU time
0.036
Build memory
1210668238.7692
F measure
0.5044
Per class
Kappa
0.1539
KB relative information score
36.914
Mean absolute error
0.2356
Mean prior absolute error
0.2369
Number of instances
362
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.4981
Per class
Predictive accuracy
0.5138
Prior entropy
1.6141
Recall
0.5138
Per class
Relative absolute error
0.9944
Root mean prior squared error
0.3434
Root mean squared error
0.3726
Root relative squared error
1.085
SciMark benchmark
943.2074