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Run
6939

Run 6939

Task 29 (Supervised Classification) credit-approval Uploaded 21-05-2014 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
0.8865
Per class
F measure
0.8494
Per class
Kappa
0.6954
KB relative information score
440.5744
Mean absolute error
0.1853
Mean prior absolute error
0.494
Number of instances
690
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8497
Per class
Predictive accuracy
0.8493
Prior entropy
0.9913
Recall
0.8493
Per class
Relative absolute error
0.3751
Root mean prior squared error
0.497
Root mean squared error
0.3556
Root relative squared error
0.7155
SciMark benchmark
933.9828[561.9331793020235949.706735503843484.1035797902428917.54991792291921756.6205822745662]