DEVELOPMENT... OpenML
Run
167678

Run 167678

Task 3726 (Supervised Classification) sleuth_ex2016 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)_I40
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
0.7688
Per class
F measure
0.7012
Per class
Kappa
0.4025
KB relative information score
33.0729
Mean absolute error
0.3139
Mean prior absolute error
0.4994
Number of instances
87
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.702
Per class
Predictive accuracy
0.7011
Prior entropy
0.9992
Recall
0.7011
Per class
Relative absolute error
0.6285
Root mean prior squared error
0.4997
Root mean squared error
0.4826
Root relative squared error
0.9659
SciMark benchmark
941.7954
UserCPU time millis
10
UserCPU time millis training
10