DEVELOPMENT... OpenML
Run
126311

Run 126311

Task 269 (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
0.7755
Per class
Build CPU time
0.299
Build memory
94987224
F measure
0.7344
Per class
Kappa
0.4636
KB relative information score
27.3911
Mean absolute error
0.2981
Mean prior absolute error
0.4971
Number of instances
68
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7347
Per class
Predictive accuracy
0.7353
Prior entropy
0.9968
Recall
0.7353
Per class
Relative absolute error
0.5997
Root mean prior squared error
0.4982
Root mean squared error
0.5193
Root relative squared error
1.0424
SciMark benchmark
929.5397