DEVELOPMENT... OpenML
Run
126260

Run 126260

Task 39 (Supervised Classification) sonar 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
0.8486
Per class
Build CPU time
0.3712
Build memory
734934809.4615
F measure
0.817
Per class
Kappa
0.632
KB relative information score
126.1509
Mean absolute error
0.1975
Mean prior absolute error
0.4978
Number of instances
208
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8173
Per class
Predictive accuracy
0.8173
Prior entropy
0.9968
Recall
0.8173
Per class
Relative absolute error
0.3969
Root mean prior squared error
0.4989
Root mean squared error
0.4088
Root relative squared error
0.8195
SciMark benchmark
937.9119