DEVELOPMENT... OpenML
Run
166670

Run 166670

Task 3494 (Supervised Classification) monks-problems-3 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
0.983
Per class
F measure
0.9621
Per class
Kappa
0.9241
KB relative information score
483.4393
Mean absolute error
0.0707
Mean prior absolute error
0.4992
Number of instances
554
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9622
Per class
Predictive accuracy
0.9621
Prior entropy
0.9989
Recall
0.9621
Per class
Relative absolute error
0.1416
Root mean prior squared error
0.4996
Root mean squared error
0.1797
Root relative squared error
0.3597
SciMark benchmark
943.2817
UserCPU time millis
20
UserCPU time millis training
20