DEVELOPMENT... OpenML
Run
125053

Run 125053

Task 30 (Supervised Classification) page-blocks 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
0.8906
Per class
Build CPU time
0.2855
Build memory
1224048367.1113
F measure
0.9166
Per class
Kappa
0.5653
KB relative information score
-1018.1301
Mean absolute error
0.0691
Mean prior absolute error
0.0762
Number of instances
5473
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.939
Per class
Predictive accuracy
0.9041
Prior entropy
0.6391
Recall
0.9041
Per class
Relative absolute error
0.9076
Root mean prior squared error
0.1949
Root mean squared error
0.1888
Root relative squared error
0.9692
SciMark benchmark
943.5504