DEVELOPMENT... OpenML
Run
125806

Run 125806

Task 2273 (Supervised Classification) meta_batchincremental.arff 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)_I80
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
0.5979
Per class
Build CPU time
0.061
Build memory
1300975156.7568
F measure
0.5326
Per class
Kappa
0.1393
KB relative information score
-14.5474
Mean absolute error
0.3178
Mean prior absolute error
0.2519
Number of instances
74
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6039
Per class
Predictive accuracy
0.5
Prior entropy
1.3842
Recall
0.5
Per class
Relative absolute error
1.2616
Root mean prior squared error
0.3504
Root mean squared error
0.4512
Root relative squared error
1.2876
SciMark benchmark
943.5504