DEVELOPMENT... OpenML
Run
125368

Run 125368

Task 3640 (Supervised Classification) disclosure_x_bias 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
0.5385
Per class
Build CPU time
0.0104
Build memory
808534382.7915
F measure
0.5561
Per class
Kappa
0.1111
KB relative information score
12.8682
Mean absolute error
0.4919
Mean prior absolute error
0.4991
Number of instances
662
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5564
Per class
Predictive accuracy
0.5559
Prior entropy
0.9987
Recall
0.5559
Per class
Relative absolute error
0.9855
Root mean prior squared error
0.4996
Root mean squared error
0.4982
Root relative squared error
0.9974
SciMark benchmark
909.5718

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