DEVELOPMENT... OpenML
Run
165659

Run 165659

Task 39 (Supervised Classification) sonar Uploaded 17-02-2015 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)_I160
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
0.8349
Per class
F measure
0.7979
Per class
Kappa
0.5938
KB relative information score
119.6956
Mean absolute error
0.2125
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
0.7979
Per class
Predictive accuracy
0.7981
Prior entropy
0.9968
Recall
0.7981
Per class
Relative absolute error
0.427
Root mean prior squared error
0.4989
Root mean squared error
0.4302
Root relative squared error
0.8624
SciMark benchmark
945.6434
UserCPU time millis
660
UserCPU time millis testing
200
UserCPU time millis training
460