DEVELOPMENT... OpenML
Run
127634

Run 127634

Task 3054 (Supervised Classification) monks-problems-2 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
0.4956
Per class
Build CPU time
0.002
Build memory
161874520
F measure
0.474
Per class
Kappa
-0.0593
KB relative information score
-5.6786
Mean absolute error
0.464
Mean prior absolute error
0.4588
Number of instances
198
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.3913
Per class
Predictive accuracy
0.601
Prior entropy
0.9279
Recall
0.601
Per class
Relative absolute error
1.0113
Root mean prior squared error
0.4831
Root mean squared error
0.4982
Root relative squared error
1.0313
SciMark benchmark
908.8705