DEVELOPMENT... OpenML
Run
19139

Run 19139

Task 57 (Supervised Classification) ionosphere Uploaded 12-06-2014 by Felicia West
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Flow

weka.AdaBoostM1_JRip(1)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_JRip(1)_I20
weka.AdaBoostM1_JRip(1)_P100
weka.AdaBoostM1_JRip(1)_S1
weka.AdaBoostM1_JRip(1)_Wweka.classifiers.rules.JRip
weka.JRip(1)_F3
weka.JRip(1)_N2.0
weka.JRip(1)_O2
weka.JRip(1)_S1

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.9455
Per class
F measure
0.9333
Per class
Kappa
0.8533
KB relative information score
297.5408
Mean absolute error
0.0674
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
0.9371
Per class
Predictive accuracy
0.9345
Prior entropy
0.9425
Recall
0.9345
Per class
Relative absolute error
0.1463
Root mean prior squared error
0.4797
Root mean squared error
0.2516
Root relative squared error
0.5245
SciMark benchmark
921.6223[544.5646589471471984.6474749496841471.97440834681885886.82007169656771720.1050127100257]

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