DEVELOPMENT... OpenML
Run
127272

Run 127272

Task 3759 (Supervised Classification) fri_c3_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
0.6682
Per class
Build CPU time
0.0716
Build memory
1018760460
F measure
0.6299
Per class
Kappa
0.2466
KB relative information score
83.0441
Mean absolute error
0.4171
Mean prior absolute error
0.4928
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
0.6294
Per class
Predictive accuracy
0.632
Prior entropy
0.9897
Recall
0.632
Per class
Relative absolute error
0.8463
Root mean prior squared error
0.4964
Root mean squared error
0.4897
Root relative squared error
0.9866
SciMark benchmark
908.8705

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