DEVELOPMENT... OpenML
Run
127492

Run 127492

Task 246 (Supervised Classification) mfeat-karhunen 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
0.9941
Per class
Build CPU time
3.513
Build memory
807385856
F measure
0.947
Per class
Kappa
0.941
KB relative information score
624.3407
Mean absolute error
0.0114
Mean prior absolute error
0.18
Number of instances
660
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9479
Per class
Predictive accuracy
0.947
Prior entropy
3.3219
Recall
0.947
Per class
Relative absolute error
0.0633
Root mean prior squared error
0.3
Root mean squared error
0.0966
Root relative squared error
0.3219
SciMark benchmark
908.8705