DEVELOPMENT... OpenML
Run
167990

Run 167990

Task 23 (Supervised Classification) cmc 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
0.6336
Per class
F measure
0.5135
Per class
Kappa
0.2588
KB relative information score
45.0834
Mean absolute error
0.4395
Mean prior absolute error
0.4308
Number of instances
1473
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5297
Per class
Predictive accuracy
0.5085
Prior entropy
1.5392
Recall
0.5085
Per class
Relative absolute error
1.0201
Root mean prior squared error
0.4641
Root mean squared error
0.4667
Root relative squared error
1.0055
SciMark benchmark
911.3823
UserCPU time millis
50
UserCPU time millis testing
10
UserCPU time millis training
40