DEVELOPMENT... OpenML
Run
166895

Run 166895

Task 3713 (Supervised Classification) schlvote 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)_I80
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
0.3607
Per class
F measure
0.5074
Per class
Kappa
-0.2491
KB relative information score
-15.5054
Mean absolute error
0.4965
Mean prior absolute error
0.3934
Number of instances
38
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5152
Per class
Predictive accuracy
0.5
Prior entropy
0.8485
Recall
0.5
Per class
Relative absolute error
1.2621
Root mean prior squared error
0.4405
Root mean squared error
0.5757
Root relative squared error
1.3069
SciMark benchmark
923.7642
UserCPU time millis
10
UserCPU time millis training
10