DEVELOPMENT... OpenML
Run
126716

Run 126716

Task 3809 (Supervised Classification) visualizing_ethanol 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)_I40
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
0.4997
Per class
Build CPU time
0.0024
Build memory
419581892.5455
F measure
0.5222
Per class
Kappa
0.0469
KB relative information score
-0.135
Mean absolute error
0.5014
Mean prior absolute error
0.4997
Number of instances
88
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5239
Per class
Predictive accuracy
0.5227
Prior entropy
0.9996
Recall
0.5227
Per class
Relative absolute error
1.0033
Root mean prior squared error
0.4999
Root mean squared error
0.5182
Root relative squared error
1.0366
SciMark benchmark
908.8705