DEVELOPMENT... OpenML
Run
127869

Run 127869

Task 3756 (Supervised Classification) visualizing_hamster 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)_I10
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
0.6189
Per class
Build CPU time
0.0032
Build memory
2408208686.137
F measure
0.589
Per class
Kappa
0.1705
KB relative information score
7.9252
Mean absolute error
0.4461
Mean prior absolute error
0.4955
Number of instances
73
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.589
Per class
Predictive accuracy
0.589
Prior entropy
0.9937
Recall
0.589
Per class
Relative absolute error
0.9003
Root mean prior squared error
0.4977
Root mean squared error
0.5099
Root relative squared error
1.0244
SciMark benchmark
943.5504