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Run
11736

Run 11736

Task 37 (Supervised Classification) diabetes 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
0.7937
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
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
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
948.0111[564.6619124438491015.52310425331483.23216931738307914.34946139689831762.2889234168845]