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Run
13931

Run 13931

Task 34 (Supervised Classification) postoperative-patient-data Uploaded 22-05-2014 by Felicia West
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Flow

weka.PART(1)Eibe Frank, Ian H. Witten: Generating Accurate Rule Sets Without Global Optimization. In: Fifteenth International Conference on Machine Learning, 144-151, 1998.
weka.PART(1)_C0.25
weka.PART(1)_M2
weka.PART(1)_Q1

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
0.4531
Per class
F measure
0.5523
Per class
Kappa
-0.1175
KB relative information score
-8.732
Mean absolute error
0.3025
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
0.5234
Per class
Predictive accuracy
0.5889
Prior entropy
1.0305
Recall
0.5889
Per class
Relative absolute error
1.0537
Root mean prior squared error
0.3755
Root mean squared error
0.4358
Root relative squared error
1.1606
SciMark benchmark
947.8487[563.74942385882411015.5230404536866484.10363182779514917.54991792291921758.3172656914378]