DEVELOPMENT... OpenML
Run
126566

Run 126566

Task 3635 (Supervised Classification) fri_c1_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)_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
0.6861
Per class
Build CPU time
0.3332
Build memory
816152744
F measure
0.6564
Per class
Kappa
0.3077
KB relative information score
72.0852
Mean absolute error
0.3529
Mean prior absolute error
0.4954
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
0.6572
Per class
Predictive accuracy
0.656
Prior entropy
0.9934
Recall
0.656
Per class
Relative absolute error
0.7122
Root mean prior squared error
0.4977
Root mean squared error
0.5639
Root relative squared error
1.1329
SciMark benchmark
908.8705