DEVELOPMENT... OpenML
Run
125205

Run 125205

Task 2272 (Supervised Classification) meta_all.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)_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
0.6223
Per class
Build CPU time
0.114
Build memory
622600884.169
F measure
0.5597
Per class
Kappa
0.2741
KB relative information score
15.5538
Mean absolute error
0.1754
Mean prior absolute error
0.2065
Number of instances
71
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5589
Per class
Predictive accuracy
0.5634
Prior entropy
1.9094
Recall
0.5634
Per class
Relative absolute error
0.8496
Root mean prior squared error
0.317
Root mean squared error
0.3538
Root relative squared error
1.116
SciMark benchmark
909.5718