DEVELOPMENT... OpenML
Run
167118

Run 167118

Task 3521 (Supervised Classification) oh15.wc 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
0.8616
Per class
F measure
0.739
Per class
Kappa
0.7068
KB relative information score
659.01
Mean absolute error
0.0517
Mean prior absolute error
0.1768
Number of instances
913
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7428
Per class
Predictive accuracy
0.7404
Prior entropy
3.2121
Recall
0.7404
Per class
Relative absolute error
0.2925
Root mean prior squared error
0.2973
Root mean squared error
0.2269
Root relative squared error
0.7631
SciMark benchmark
943.2817
UserCPU time millis
2356640
UserCPU time millis testing
770830
UserCPU time millis training
1585810