DEVELOPMENT... OpenML
Run
93489

Run 93489

Task 1798 (Supervised Classification) postoperative-patient-data Uploaded 08-12-2014 by Felicia West
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Flow

weka.OneR(3)R.C. Holte (1993). Very simple classification rules perform well on most commonly used datasets. Machine Learning. 11:63-91.
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
0.4821
Per class
Build CPU time
0.0001
Build memory
924635552
F measure
0.5843
Per class
Kappa
-0.0455
KB relative information score
68.5254
Mean absolute error
0.2193
Mean prior absolute error
0.2871
Number of instances
450
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5408
Per class
Predictive accuracy
0.6711
Prior entropy
1.0305
Recall
0.6711
Per class
Relative absolute error
0.7638
Root mean prior squared error
0.3755
Root mean squared error
0.4683
Root relative squared error
1.2471
SciMark benchmark
929.8725