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Run
175875

Run 175875

Task 37 (Supervised Classification) diabetes 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
0.7937
Per class
F measure
0.7317
Per class
Kappa
0.4124
KB relative information score
240.5837
Mean absolute error
0.3124
Mean prior absolute error
0.4545
Number of instances
768
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.7332
Per class
Predictive accuracy
0.7305
Prior entropy
0.9335
Recall
0.7305
Per class
Relative absolute error
0.6873
Root mean prior squared error
0.4766
Root mean squared error
0.4137
Root relative squared error
0.8679
SciMark benchmark
1341.2341
UserCPU time millis
10
UserCPU time millis training
10