DEVELOPMENT... OpenML
Run
125241

Run 125241

Task 3057 (Supervised Classification) SPECTF 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)_I160
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
0.8363
Per class
Build CPU time
0.054
Build memory
510619992
F measure
0.7847
Per class
Kappa
0.5393
KB relative information score
22.3917
Mean absolute error
0.3339
Mean prior absolute error
0.4035
Number of instances
115
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.851
Per class
Predictive accuracy
0.7739
Prior entropy
0.8464
Recall
0.7739
Per class
Relative absolute error
0.8276
Root mean prior squared error
0.4525
Root mean squared error
0.4186
Root relative squared error
0.9249
SciMark benchmark
909.5718