DEVELOPMENT... OpenML
Run
168022

Run 168022

Task 55 (Supervised Classification) vote 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
0.9657
Per class
F measure
0.9471
Per class
Kappa
0.8884
KB relative information score
384.0152
Mean absolute error
0.0544
Mean prior absolute error
0.4742
Number of instances
435
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9471
Per class
Predictive accuracy
0.9471
Prior entropy
0.9627
Recall
0.9471
Per class
Relative absolute error
0.1147
Root mean prior squared error
0.4869
Root mean squared error
0.226
Root relative squared error
0.4641
SciMark benchmark
942.6953
UserCPU time millis
80
UserCPU time millis testing
20
UserCPU time millis training
60