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1 | %DIABETES 768 objects with 8 features in 2 classes |
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2 | % |
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3 | % X = DIABETES |
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4 | % |
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5 | % Pima-indians diabetes database from National Institute of Diabetes and |
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6 | % Digestive and Kidney Diseases. This is the 'Pima Indians Diabetes' |
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7 | % dataset of the UCI Machine Learning Repository, |
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8 | % //www.ics.uci.edu/~mlearn/MLRepository.html |
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9 | |
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10 | function a = diabetes |
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11 | |
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12 | a = pr_loadmatfile; |
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13 | if isempty(a) |
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14 | opt.delimeter = ' '; |
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15 | opt.labfeat = 9; |
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16 | opt.featnames = {'NumPregnancies' 'plasmaGlucose' 'diastolicBloodPr' ... |
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17 | 'tricepsSkinfold' '2hrSerumInsulin' 'BodyMassIndex' ... |
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18 | 'DiabetesPedigreeFn' 'Age'}; |
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19 | opt.classnames = {'present' 'absent'}; |
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20 | opt.link = 'ftp://ftp.ics.uci.edu/pub/machine-learning-databases/pima-indians-diabetes/'; |
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21 | opt.desc = 'The Pima Indians Diabetes Database from UCI.'; |
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22 | opt.dsetname = 'Diabetes Dataset'; |
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23 | a = pr_download('http://prtools.tudelft.nl/prdatasets/diabetes.dat',[],opt); |
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24 | end |
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25 | |
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26 | return |
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