DEVELOPMENT... OpenML
Run
126559

Run 126559

Task 3632 (Supervised Classification) fri_c1_500_50 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
0.6703
Per class
Build CPU time
0.2774
Build memory
917061840
F measure
0.6254
Per class
Kappa
0.2487
KB relative information score
105.164
Mean absolute error
0.3987
Mean prior absolute error
0.4989
Number of instances
500
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6254
Per class
Predictive accuracy
0.626
Prior entropy
0.9984
Recall
0.626
Per class
Relative absolute error
0.7992
Root mean prior squared error
0.4994
Root mean squared error
0.5159
Root relative squared error
1.033
SciMark benchmark
908.8705