DEVELOPMENT... OpenML
Run
127256

Run 127256

Task 3743 (Supervised Classification) fri_c2_500_25 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
0.7091
Per class
Build CPU time
0.0857
Build memory
1266781235.2
F measure
0.6692
Per class
Kappa
0.2987
KB relative information score
102.2884
Mean absolute error
0.3821
Mean prior absolute error
0.4768
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
0.6689
Per class
Predictive accuracy
0.676
Prior entropy
0.9664
Recall
0.676
Per class
Relative absolute error
0.8014
Root mean prior squared error
0.4882
Root mean squared error
0.4665
Root relative squared error
0.9556
SciMark benchmark
943.2074