DEVELOPMENT... OpenML
Run
127542

Run 127542

Task 1780 (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
0.9917
Per class
Build CPU time
2.6226
Build memory
1122136488.8
F measure
0.9307
Per class
Kappa
0.9229
KB relative information score
9308.9219
Mean absolute error
0.0142
Mean prior absolute error
0.18
Number of instances
10000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.931
Per class
Predictive accuracy
0.9306
Prior entropy
3.3219
Recall
0.9306
Per class
Relative absolute error
0.0789
Root mean prior squared error
0.3
Root mean squared error
0.1108
Root relative squared error
0.3694
SciMark benchmark
908.8705