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Run
8429

Run 8429

Task 34 (Supervised Classification) postoperative-patient-data 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
0.4773
Per class
F measure
0.5745
Per class
Kappa
-0.061
KB relative information score
14.9379
Mean absolute error
0.2148
Mean prior absolute error
0.2871
Number of instances
90
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.4986
Per class
Predictive accuracy
0.6778
Prior entropy
1.0305
Recall
0.6778
Per class
Relative absolute error
0.7483
Root mean prior squared error
0.3755
Root mean squared error
0.4635
Root relative squared error
1.2343
SciMark benchmark
922.1546[559.9488393771786891.2835618407229484.1035797902428908.01528932595751767.4217034453668]