DEVELOPMENT... OpenML
Run
166216

Run 166216

Task 3862 (Supervised Classification) audiology 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)_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
0.9284
Per class
F measure
0.9384
Per class
Kappa
0.8377
KB relative information score
183.979
Mean absolute error
0.0621
Mean prior absolute error
0.3783
Number of instances
226
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9389
Per class
Predictive accuracy
0.9381
Prior entropy
0.8182
Recall
0.9381
Per class
Relative absolute error
0.1641
Root mean prior squared error
0.4343
Root mean squared error
0.2489
Root relative squared error
0.5731
SciMark benchmark
939.7623
UserCPU time millis
790
UserCPU time millis testing
260
UserCPU time millis training
530