DEVELOPMENT... OpenML
Run
125177

Run 125177

Task 1819 (Supervised Classification) vote 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)_I160
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
0.9679
Per class
Build CPU time
0.0292
Build memory
1415261554.2841
F measure
0.9421
Per class
Kappa
0.878
KB relative information score
1890.3294
Mean absolute error
0.0615
Mean prior absolute error
0.4742
Number of instances
2175
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9422
Per class
Predictive accuracy
0.9421
Prior entropy
0.9627
Recall
0.9421
Per class
Relative absolute error
0.1298
Root mean prior squared error
0.4869
Root mean squared error
0.2253
Root relative squared error
0.4627
SciMark benchmark
909.5718