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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 x = diabetes |
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11 | |
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12 | prdatasets(mfilename,1,'http://prtools.org/prdatasets/diabetes.dat'); |
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13 | user.desc='The Pima Indians Diabetes Database from UCI.'; |
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14 | user.link = 'ftp://ftp.ics.uci.edu/pub/machine-learning-databases/pima-indians-diabetes/'; |
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15 | cl = {'present' 'absent'}; |
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16 | fl = {'NumPregnancies' 'plasmaGlucose' 'diastolicBloodPr' ... |
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17 | 'tricepsSkinfold' '2hrSerumInsulin' 'BodyMassIndex' ... |
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18 | 'DiabetesPedigreeFn' 'Age'}; |
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19 | |
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20 | a = load('diabetes.dat'); |
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21 | x = pr_dataset(a(:,1:(end-1)),cl(a(:,end)+1)); |
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22 | x = setfeatlab(x,fl); |
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23 | x = setname(x,'Diabetes'); |
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24 | x = setuser(x,user); |
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25 | |
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26 | return |
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