DEVELOPMENT... OpenML
Run
12354

Run 12354

Task 57 (Supervised Classification) ionosphere Uploaded 22-05-2014 by Felicia West
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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)_B15

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
0.7294
Per class
F measure
0.7701
Per class
Kappa
0.4904
KB relative information score
177.701
Mean absolute error
0.2194
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
0.7799
Per class
Predictive accuracy
0.7806
Prior entropy
0.9425
Recall
0.7806
Per class
Relative absolute error
0.4764
Root mean prior squared error
0.4797
Root mean squared error
0.4684
Root relative squared error
0.9764
SciMark benchmark
917.3739[530.9713001582315901.2885863823998483.8854846559526914.66854765231311756.0556588021248]

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