DEVELOPMENT... OpenML
Run
127636

Run 127636

Task 3055 (Supervised Classification) monks-problems-3 Uploaded 25-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_NaiveBayes(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_NaiveBayes(2)_I10
weka.AdaBoostM1_NaiveBayes(2)_P100
weka.AdaBoostM1_NaiveBayes(2)_S1
weka.AdaBoostM1_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.

21 Evaluation measures

Area under ROC curve
0.9917
Per class
Build CPU time
0.008
Build memory
326690200
F measure
0.9672
Per class
Kappa
0.933
KB relative information score
160.2794
Mean absolute error
0.0626
Mean prior absolute error
0.4967
Number of instances
182
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9694
Per class
Predictive accuracy
0.967
Prior entropy
0.9989
Recall
0.967
Per class
Relative absolute error
0.1261
Root mean prior squared error
0.4971
Root mean squared error
0.1594
Root relative squared error
0.3206
SciMark benchmark
943.2074