DEVELOPMENT... OpenML
Run
125076

Run 125076

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)_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
0.9397
Per class
Build CPU time
0.2199
Build memory
1183512407.567
F measure
0.9175
Per class
Kappa
0.8208
KB relative information score
275.2674
Mean absolute error
0.0996
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
0.9175
Per class
Predictive accuracy
0.9174
Prior entropy
0.9425
Recall
0.9174
Per class
Relative absolute error
0.2164
Root mean prior squared error
0.4797
Root mean squared error
0.2671
Root relative squared error
0.5568
SciMark benchmark
943.5504