DEVELOPMENT... OpenML
Run
125808

Run 125808

Task 2274 (Supervised Classification) meta_ensembles.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
0.6703
Per class
Build CPU time
0.0677
Build memory
765589211.027
F measure
0.5551
Per class
Kappa
0.2357
KB relative information score
13.6045
Mean absolute error
0.2606
Mean prior absolute error
0.2904
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
0.5763
Per class
Predictive accuracy
0.5405
Prior entropy
1.5899
Recall
0.5405
Per class
Relative absolute error
0.8974
Root mean prior squared error
0.3782
Root mean squared error
0.4124
Root relative squared error
1.0905
SciMark benchmark
909.5718