DEVELOPMENT... OpenML
Run
127439

Run 127439

Task 14 (Supervised Classification) mfeat-fourier 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
0.9389
Per class
Build CPU time
5.0469
Build memory
885035821.6
F measure
0.7849
Per class
Kappa
0.7628
KB relative information score
1357.4127
Mean absolute error
0.0843
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7868
Per class
Predictive accuracy
0.7865
Prior entropy
3.3219
Recall
0.7865
Per class
Relative absolute error
0.4683
Root mean prior squared error
0.3
Root mean squared error
0.1855
Root relative squared error
0.6183
SciMark benchmark
929.5397