DEVELOPMENT... OpenML
Run
125260

Run 125260

Task 3499 (Supervised Classification) squash-stored 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
0.7887
Per class
Build CPU time
0.0666
Build memory
627773406.9231
F measure
0.6923
Per class
Kappa
0.5157
KB relative information score
27.7826
Mean absolute error
0.2041
Mean prior absolute error
0.4135
Number of instances
52
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7141
Per class
Predictive accuracy
0.6923
Prior entropy
1.4782
Recall
0.6923
Per class
Relative absolute error
0.4935
Root mean prior squared error
0.4538
Root mean squared error
0.4377
Root relative squared error
0.9645
SciMark benchmark
909.5718