Run
25619

Run 25619

Task 93 (Learning Curve) postoperative-patient-data Uploaded 19-08-2014 by Jan van Rijn
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Flow

weka.JRip(2)William W. Cohen: Fast Effective Rule Induction. In: Twelfth International Conference on Machine Learning, 115-123, 1995.
weka.JRip(2)_F3
weka.JRip(2)_N2.0
weka.JRip(2)_O2
weka.JRip(2)_S1

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.

19 Evaluation measures

Area under ROC curve
0.4742 ± 0.0143
Per class
Build CPU time
0.0006
Build memory
6821798423
Kappa
-0.0064 ± 0.0343
KB relative information score
0.0251 ± 0.0247
Mean absolute error
0.2789 ± 0.0212
Mean prior absolute error
0.2871 ± 0.0196
Number of instances
900
Per class
OS information
[Oracle Corporation, 1.7.0_55, amd64, Linux, 3.8.0-44-generic]
Predictive accuracy
0.7078 ± 0.0605
Prior entropy
0.983 ± 0.181
Recall
0.7078 ± 0.0605
Per class
Relative absolute error
0.9714 ± 0.0202
Root mean prior squared error
0.3755 ± 0.0263
Root mean squared error
0.3771 ± 0.0293
Root relative squared error
1.0043 ± 0.0152
SciMark benchmark
1056.9239[649.3822502698017930.4466034361782522.7565120974215868.88963699131082313.1443217478995]