DEVELOPMENT... OpenML
Run
225

Run 225

Task 57 (Supervised Classification) ionosphere Uploaded 07-04-2014 by Jason
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Flow

weka.OneR(1)R.C. Holte (1993). Very simple classification rules perform well on most commonly used datasets. Machine Learning. 11:63-91.
weka.OneR(1)_B6

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
0.8029
Per class
F measure
0.8224
Per class
Kappa
0.6121
KB relative information score
211.4123
Mean absolute error
0.1766
Mean prior absolute error
0.4604
Number of instances
351
Per class
OS information
[ Oracle Corporation, 1.7.0_51, amd64, Linux, 3.7.10-1.28-desktop ]
Precision
0.8219
Per class
Predictive accuracy
0.8234
Prior entropy
0.9425
Recall
0.8234
Per class
Relative absolute error
0.3836
Root mean prior squared error
0.4797
Root mean squared error
0.4203
Root relative squared error
0.8761
SciMark benchmark
2012.8389