DEVELOPMENT... OpenML
Run
167230

Run 167230

Task 39 (Supervised Classification) sonar Uploaded 18-02-2015 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)_I40
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
0.8739
Per class
F measure
0.826
Per class
Kappa
0.65
KB relative information score
132.8973
Mean absolute error
0.1797
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
0.8289
Per class
Predictive accuracy
0.8269
Prior entropy
0.9968
Recall
0.8269
Per class
Relative absolute error
0.361
Root mean prior squared error
0.4989
Root mean squared error
0.3983
Root relative squared error
0.7985
SciMark benchmark
945.6434
UserCPU time millis
620
UserCPU time millis testing
190
UserCPU time millis training
430