DEVELOPMENT... OpenML
Run
127474

Run 127474

Task 57 (Supervised Classification) ionosphere 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
0.9423
Per class
Build CPU time
0.0976
Build memory
1163369719.6809
F measure
0.9145
Per class
Kappa
0.8143
KB relative information score
269.4499
Mean absolute error
0.1085
Mean prior absolute error
0.4604
Number of instances
351
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9145
Per class
Predictive accuracy
0.9145
Prior entropy
0.9425
Recall
0.9145
Per class
Relative absolute error
0.2356
Root mean prior squared error
0.4797
Root mean squared error
0.2733
Root relative squared error
0.5698
SciMark benchmark
908.8705