DEVELOPMENT... OpenML
Run
126180

Run 126180

Task 3876 (Supervised Classification) analcatdata_challenger 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)_I80
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
0.5439
Per class
Build CPU time
0.0037
Build memory
1994345049.0435
F measure
0.8923
Per class
Kappa
-0.0337
KB relative information score
-52.9652
Mean absolute error
0.1193
Mean prior absolute error
0.1273
Number of instances
138
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8725
Per class
Predictive accuracy
0.913
Prior entropy
0.3712
Recall
0.913
Per class
Relative absolute error
0.9366
Root mean prior squared error
0.247
Root mean squared error
0.2627
Root relative squared error
1.0636
SciMark benchmark
937.9119