DEVELOPMENT... OpenML
Run
126758

Run 126758

Task 3841 (Supervised Classification) mfeat-factors 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
0.9981
Per class
Build CPU time
7.5846
Build memory
799991877.6
F measure
0.9931
Per class
Kappa
0.9618
KB relative information score
1863.1672
Mean absolute error
0.0086
Mean prior absolute error
0.1803
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
0.9932
Per class
Predictive accuracy
0.993
Prior entropy
0.4703
Recall
0.993
Per class
Relative absolute error
0.0476
Root mean prior squared error
0.3
Root mean squared error
0.0804
Root relative squared error
0.2679
SciMark benchmark
929.5397