DEVELOPMENT... OpenML
Run
13965

Run 13965

Task 27 (Supervised Classification) colic 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)_B2

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
0.8139
Per class
F measure
0.8171
Per class
Kappa
0.6129
KB relative information score
217.5752
Mean absolute error
0.1848
Mean prior absolute error
0.4662
Number of instances
368
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.822
Per class
Predictive accuracy
0.8152
Prior entropy
0.9509
Recall
0.8152
Per class
Relative absolute error
0.3964
Root mean prior squared error
0.4827
Root mean squared error
0.4299
Root relative squared error
0.8906
SciMark benchmark
913.323[558.3356592612839862.1723035550219483.6674820550281905.8189190131481756.6205822745662]