DEVELOPMENT... OpenML
Run
125211

Run 125211

Task 2352 (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
0.5517
Per class
Build CPU time
0.048
Build memory
1819416880
F measure
0.4608
Per class
Kappa
-0.0136
KB relative information score
-1.4328
Mean absolute error
0.2203
Mean prior absolute error
0.1912
Number of instances
23
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5033
Per class
Predictive accuracy
0.4348
Prior entropy
1.9094
Recall
0.4348
Per class
Relative absolute error
1.1521
Root mean prior squared error
0.2919
Root mean squared error
0.3609
Root relative squared error
1.2365
SciMark benchmark
943.5504