DEVELOPMENT... OpenML
Run
129875

Run 129875

Task 57 (Supervised Classification) ionosphere Uploaded 25-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_OneR(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_OneR(2)_I80
weka.AdaBoostM1_OneR(2)_P100
weka.AdaBoostM1_OneR(2)_S1
weka.AdaBoostM1_OneR(2)_Wweka.classifiers.rules.OneR
weka.OneR(3)_B6

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
0.9098
Per class
Build CPU time
0.2036
Build memory
276420342.7692
F measure
0.8841
Per class
Kappa
0.7453
KB relative information score
258.0011
Mean absolute error
0.1179
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
0.8864
Per class
Predictive accuracy
0.886
Prior entropy
0.9425
Recall
0.886
Per class
Relative absolute error
0.256
Root mean prior squared error
0.4797
Root mean squared error
0.3387
Root relative squared error
0.7061
SciMark benchmark
916.8903