DEVELOPMENT... OpenML
Run
126258

Run 126258

Task 36 (Supervised Classification) segment 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)_I40
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
0.9416
Per class
Build CPU time
0.4554
Build memory
1564740250.4
F measure
0.7823
Per class
Kappa
0.7707
KB relative information score
1533.3147
Mean absolute error
0.1223
Mean prior absolute error
0.2449
Number of instances
2310
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8225
Per class
Predictive accuracy
0.8035
Prior entropy
2.8074
Recall
0.8035
Per class
Relative absolute error
0.4995
Root mean prior squared error
0.3499
Root mean squared error
0.2079
Root relative squared error
0.5942
SciMark benchmark
943.5504