DEVELOPMENT... OpenML
Run
168893

Run 168893

Task 3862 (Supervised Classification) audiology Uploaded 20-02-2015 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)_I10
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
0.9601
Per class
F measure
0.9603
Per class
Kappa
0.895
KB relative information score
198.5252
Mean absolute error
0.0402
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
0.9605
Per class
Predictive accuracy
0.9602
Prior entropy
0.8182
Recall
0.9602
Per class
Relative absolute error
0.1062
Root mean prior squared error
0.4343
Root mean squared error
0.1952
Root relative squared error
0.4496
SciMark benchmark
927.0753
UserCPU time millis
60
UserCPU time millis testing
20
UserCPU time millis training
40