| 1 | %LIVER Liver disorder dataset, 345 objects, 6 features, 2 classes |
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| 2 | % |
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| 3 | % A = LIVER |
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| 4 | % |
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| 5 | % Load the dataset in A, select the objects and features according to the |
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| 6 | % index vectors M and N. This is the Liver-disorders database from the UCI |
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| 7 | % Machine Learning Repository, //www.ics.uci.edu/~mlearn/MLRepository.html |
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| 8 | % |
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| 9 | % See also DATASETS, PRDATASETS |
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| 10 | |
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| 11 | % Copyright: R.P.W. Duin, r.p.w.duin@prtools.org |
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| 12 | % Faculty EWI, Delft University of Technology |
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| 13 | % P.O. Box 5031, 2600 GA Delft, The Netherlands |
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| 14 | |
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| 15 | function a = liver |
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| 16 | |
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| 17 | prdatasets(mfilename,1); |
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| 18 | a = pr_dataset('liver'); |
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| 19 | a = setname(a,'Liver disorder dataset'); |
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| 20 | |
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| 21 | a = setlablist(a,str2mat('healthy','disorder')); |
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| 22 | a = setfeatlab(a,str2mat(... |
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| 23 | 'mean corpuscular volume', ... |
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| 24 | 'alkaline phosphotase', ... |
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| 25 | 'alamine aminotransferase', ... |
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| 26 | 'aspartate aminotransferase', ... |
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| 27 | 'gamma-glutamyl transpeptidase', ... |
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| 28 | 'half-pint equivalents')); |
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