DEVELOPMENT... OpenML
Run
127296

Run 127296

Task 3789 (Supervised Classification) fri_c0_500_25 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
0.9251
Per class
Build CPU time
0.2289
Build memory
1253570016
F measure
0.85
Per class
Kappa
0.7
KB relative information score
337.1497
Mean absolute error
0.1651
Mean prior absolute error
0.4998
Number of instances
500
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8501
Per class
Predictive accuracy
0.85
Prior entropy
0.9997
Recall
0.85
Per class
Relative absolute error
0.3304
Root mean prior squared error
0.4999
Root mean squared error
0.3554
Root relative squared error
0.711
SciMark benchmark
943.2074

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