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Run
176350

Run 176350

Task 3656 (Supervised Classification) diabetes_numeric 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
0.5882
Per class
F measure
0.6564
Per class
Kappa
0.2747
KB relative information score
6.1588
Mean absolute error
0.4159
Mean prior absolute error
0.4791
Number of instances
43
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.6673
Per class
Predictive accuracy
0.6744
Prior entropy
0.971
Recall
0.6744
Per class
Relative absolute error
0.8681
Root mean prior squared error
0.4889
Root mean squared error
0.51
Root relative squared error
1.043
SciMark benchmark
1465.2979