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Run
175986

Run 175986

Task 1798 (Supervised Classification) postoperative-patient-data Uploaded 21-02-2015 by Jason
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Flow

weka.PART(3)Eibe Frank, Ian H. Witten: Generating Accurate Rule Sets Without Global Optimization. In: Fifteenth International Conference on Machine Learning, 144-151, 1998.
weka.PART(3)_C0.25
weka.PART(3)_M2
weka.PART(3)_Q1

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.

22 Evaluation measures

Area under ROC curve
0.3772
Per class
F measure
0.5403
Per class
Kappa
-0.1474
KB relative information score
-70.7356
Mean absolute error
0.3207
Mean prior absolute error
0.2871
Number of instances
450
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.5136
Per class
Predictive accuracy
0.5733
Prior entropy
1.0305
Recall
0.5733
Per class
Relative absolute error
1.1172
Root mean prior squared error
0.3755
Root mean squared error
0.4768
Root relative squared error
1.2697
SciMark benchmark
1384.4418
UserCPU time millis
10
UserCPU time millis training
10