DEVELOPMENT... OpenML
Run
127411

Run 127411

Task 3917 (Supervised Classification) kc1 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
0.7364
Per class
Build CPU time
0.0543
Build memory
302330071.4083
F measure
0.8188
Per class
Kappa
0.2895
KB relative information score
357.0016
Mean absolute error
0.1754
Mean prior absolute error
0.2616
Number of instances
2109
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8147
Per class
Predictive accuracy
0.8236
Prior entropy
0.622
Recall
0.8236
Per class
Relative absolute error
0.6704
Root mean prior squared error
0.3615
Root mean squared error
0.4131
Root relative squared error
1.1427
SciMark benchmark
943.2074