DEVELOPMENT... OpenML
Run
168159

Run 168159

Task 3494 (Supervised Classification) monks-problems-3 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
0.9812
Per class
F measure
0.9639
Per class
Kappa
0.9278
KB relative information score
504.396
Mean absolute error
0.0471
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
0.9646
Per class
Predictive accuracy
0.9639
Prior entropy
0.9989
Recall
0.9639
Per class
Relative absolute error
0.0943
Root mean prior squared error
0.4996
Root mean squared error
0.1895
Root relative squared error
0.3793
SciMark benchmark
945.7621
UserCPU time millis
30
UserCPU time millis testing
10
UserCPU time millis training
20