DEVELOPMENT... OpenML
Run
126055

Run 126055

Task 3737 (Supervised Classification) fri_c3_250_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)_I80
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
0.618
Per class
Build CPU time
0.2481
Build memory
875460195.2
F measure
0.6
Per class
Kappa
0.1849
KB relative information score
40.1291
Mean absolute error
0.4104
Mean prior absolute error
0.4908
Number of instances
250
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6
Per class
Predictive accuracy
0.6
Prior entropy
0.9868
Recall
0.6
Per class
Relative absolute error
0.8361
Root mean prior squared error
0.4954
Root mean squared error
0.583
Root relative squared error
1.177
SciMark benchmark
908.8705