DEVELOPMENT... OpenML
Run
127510

Run 127510

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)_I10
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
0.7498
Per class
Build CPU time
0.077
Build memory
987533952
F measure
0.7189
Per class
Kappa
0.4323
KB relative information score
29.1386
Mean absolute error
0.2856
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
0.7201
Per class
Predictive accuracy
0.7206
Prior entropy
0.9968
Recall
0.7206
Per class
Relative absolute error
0.5747
Root mean prior squared error
0.4982
Root mean squared error
0.4853
Root relative squared error
0.9742
SciMark benchmark
908.8705