DEVELOPMENT... OpenML
Run
168006

Run 168006

Task 39 (Supervised Classification) sonar Uploaded 19-02-2015 by Felicia West
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Flow

weka.MultiBoostAB_NaiveBayes(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_NaiveBayes(2)_C3
weka.MultiBoostAB_NaiveBayes(2)_P100
weka.MultiBoostAB_NaiveBayes(2)_S1
weka.MultiBoostAB_NaiveBayes(2)_I20
weka.MultiBoostAB_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.

22 Evaluation measures

Area under ROC curve
0.8725
Per class
F measure
0.7975
Per class
Kappa
0.5927
KB relative information score
122.4047
Mean absolute error
0.2043
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
0.7983
Per class
Predictive accuracy
0.7981
Prior entropy
0.9968
Recall
0.7981
Per class
Relative absolute error
0.4105
Root mean prior squared error
0.4989
Root mean squared error
0.4255
Root relative squared error
0.853
SciMark benchmark
942.6953
UserCPU time millis
310
UserCPU time millis testing
100
UserCPU time millis training
210