DEVELOPMENT... OpenML
Run
127233

Run 127233

Task 3719 (Supervised Classification) fishcatch 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)_I20
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
0.9972
Per class
Build CPU time
0.0187
Build memory
1590785664.8101
F measure
0.9747
Per class
Kappa
0.9475
KB relative information score
148.6967
Mean absolute error
0.0282
Mean prior absolute error
0.4797
Number of instances
158
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9751
Per class
Predictive accuracy
0.9747
Prior entropy
0.971
Recall
0.9747
Per class
Relative absolute error
0.0588
Root mean prior squared error
0.4896
Root mean squared error
0.1499
Root relative squared error
0.3061
SciMark benchmark
943.2074