% 1. Title: Pima Indians Diabetes Database% % 2. Sources:%    (a) Original owners: National Institute of Diabetes and Digestive and%                         Kidney Diseases%    (b) Donor of database: Vincent Sigillito (vgs@aplcen.apl.jhu.edu)%                           Research Center, RMI Group Leader%                           Applied Physics Laboratory%                           The Johns Hopkins University%                           Johns Hopkins Road%                           Laurel, MD 20707%                           (301) 953-6231%    (c) Date received: 9 May 1990% % 3. Past Usage:%     1. Smith,~J.~W., Everhart,~J.~E., Dickson,~W.~C., Knowler,~W.~C., \&%        Johannes,~R.~S. (1988). Using the ADAP learning algorithm to forecast%        the onset of diabetes mellitus.  In {\it Proceedings of the Symposium%        on Computer Applications and Medical Care} (pp. 261--265).  IEEE%        Computer Society Press.% %        The diagnostic, binary-valued variable investigated is whether the%        patient shows signs of diabetes according to World Health Organization%        criteria (i.e., if the 2 hour post-load plasma glucose was at least %        200 mg/dl at any survey  examination or if found during routine medical%        care).   The population lives near Phoenix, Arizona, USA.% %        Results: Their ADAP algorithm makes a real-valued prediction between%        0 and 1.  This was transformed into a binary decision using a cutoff of %        0.448.  Using 576 training instances, the sensitivity and specificity%        of their algorithm was 76% on the remaining 192 instances.% % 4. Relevant Information:%       Several constraints were placed on the selection of these instances from%       a larger database.  In particular, all patients here are females at%       least 21 years old of Pima Indian heritage.  ADAP is an adaptive learning%       routine that generates and executes digital analogs of perceptron-like%       devices.  It is a unique algorithm; see the paper for details.% % 5. Number of Instances: 768% % 6. Number of Attributes: 8 plus class % % 7. For Each Attribute: (all numeric-valued)%    1. Number of times pregnant%    2. Plasma glucose concentration a 2 hours in an oral glucose tolerance test%    3. Diastolic blood pressure (mm Hg)%    4. Triceps skin fold thickness (mm)%    5. 2-Hour serum insulin (mu U/ml)%    6. Body mass index (weight in kg/(height in m)^2)%    7. Diabetes pedigree function%    8. Age (years)%    9. Class variable (0 or 1)% % 8. Missing Attribute Values: None% % 9. Class Distribution: (class value 1 is interpreted as "tested positive for%    diabetes")% %    Class Value  Number of instances%    0            500%    1            268% % 10. Brief statistical analysis:% %     Attribute number:    Mean:   Standard Deviation:%     1.                     3.8     3.4%     2.                   120.9    32.0%     3.                    69.1    19.4%     4.                    20.5    16.0%     5.                    79.8   115.2%     6.                    32.0     7.9%     7.                     0.5     0.3%     8.                    33.2    11.8% % %%%%% Relabeled values in attribute 'class'%    From: 0                       To: tested_negative     %    From: 1                       To: tested_positive     %@relation pima_diabetes@attribute 'preg' real@attribute 'plas' real@attribute 'pres' real@attribute 'skin' real@attribute 'insu' real@attribute 'mass' real@attribute 'pedi' real@attribute 'age' real@attribute 'class' { tested_negative, tested_positive}@data6,148,72,35,0,33.6,0.627,50,tested_positive1,85,66,29,0,26.6,0.351,31,tested_negative8,183,64,0,0,23.3,0.672,32,tested_positive1,89,66,23,94,28.1,0.167,21,tested_negative0,137,40,35,168,43.1,2.288,33,tested_positive5,116,74,0,0,25.6,0.201,30,tested_negative3,78,50,32,88,31,0.248,26,tested_positive10,115,0,0,0,35.3,0.134,29,tested_negative2,197,70,45,543,30.5,0.158,53,tested_positive8,125,96,0,0,0,0.232,54,tested_positive4,110,92,0,0,37.6,0.191,30,tested_negative10,168,74,0,0,38,0.537,34,tested_positive10,139,80,0,0,27.1,1.441,57,tested_negative1,189,60,23,846,30.1,0.398,59,tested_positive5,166,72,19,175,25.8,0.587,51,tested_positive7,100,0,0,0,30,0.484,32,tested_positive0,118,84,47,230,45.8,0.551,31,tested_positive7,107,74,0,0,29.6,0.254,31,tested_positive1,103,30,38,83,43.3,0.183,33,tested_negative1,115,70,30,96,34.6,0.529,32,tested_positive3,126,88,41,235,39.3,0.704,27,tested_negative8,99,84,0,0,35.4,0.388,50,tested_negative7,196,90,0,0,39.8,0.451,41,tested_positive9,119,80,35,0,29,0.263,29,tested_positive11,143,94,33,146,36.6,0.254,51,tested_positive10,125,70,26,115,31.1,0.205,41,tested_positive7,147,76,0,0,39.4,0.257,43,tested_positive1,97,66,15,140,23.2,0.487,22,tested_negative13,145,82,19,110,22.2,0.245,57,tested_negative5,117,92,0,0,34.1,0.337,38,tested_negative5,109,75,26,0,36,0.546,60,tested_negative3,158,76,36,245,31.6,0.851,28,tested_positive3,88,58,11,54,24.8,0.267,22,tested_negative6,92,92,0,0,19.9,0.188,28,tested_negative10,122,78,31,0,27.6,0.512,45,tested_negative4,103,60,33,192,24,0.966,33,tested_negative11,138,76,0,0,33.2,0.42,35,tested_negative9,102,76,37,0,32.9,0.665,46,tested_positive2,90,68,42,0,38.2,0.503,27,tested_positive4,111,72,47,207,37.1,1.39,56,tested_positive3,180,64,25,70,34,0.271,26,tested_negative7,133,84,0,0,40.2,0.696,37,tested_negative7,106,92,18,0,22.7,0.235,48,tested_negative9,171,110,24,240,45.4,0.721,54,tested_positive7,159,64,0,0,27.4,0.294,40,tested_negative0,180,66,39,0,42,1.893,25,tested_positive1,146,56,0,0,29.7,0.564,29,tested_negative2,71,70,27,0,28,0.586,22,tested_negative7,103,66,32,0,39.1,0.344,31,tested_positive7,105,0,0,0,0,0.305,24,tested_negative1,103,80,11,82,19.4,0.491,22,tested_negative1,101,50,15,36,24.2,0.526,26,tested_negative5,88,66,21,23,24.4,0.342,30,tested_negative8,176,90,34,300,33.7,0.467,58,tested_positive7,150,66,42,342,34.7,0.718,42,tested_negative1,73,50,10,0,23,0.248,21,tested_negative7,187,68,39,304,37.7,0.254,41,tested_positive0,100,88,60,110,46.8,0.962,31,tested_negative0,146,82,0,0,40.5,1.781,44,tested_negative0,105,64,41,142,41.5,0.173,22,tested_negative2,84,0,0,0,0,0.304,21,tested_negative8,133,72,0,0,32.9,0.27,39,tested_positive5,44,62,0,0,25,0.587,36,tested_negative2,141,58,34,128,25.4,0.699,24,tested_negative7,114,66,0,0,32.8,0.258,42,tested_positive5,99,74,27,0,29,0.203,32,tested_negative0,109,88,30,0,32.5,0.855,38,tested_positive2,109,92,0,0,42.7,0.845,54,tested_negative1,95,66,13,38,19.6,0.334,25,tested_negative4,146,85,27,100,28.9,0.189,27,tested_negative2,100,66,20,90,32.9,0.867,28,tested_positive5,139,64,35,140,28.6,0.411,26,tested_negative13,126,90,0,0,43.4,0.583,42,tested_positive4,129,86,20,270,35.1,0.231,23,tested_negative1,79,75,30,0,32,0.396,22,tested_negative1,0,48,20,0,24.7,0.14,22,tested_negative7,62,78,0,0,32.6,0.391,41,tested_negative5,95,72,33,0,37.7,0.37,27,tested_negative0,131,0,0,0,43.2,0.27,26,tested_positive2,112,66,22,0,25,0.307,24,tested_negative3,113,44,13,0,22.4,0.14,22,tested_negative2,74,0,0,0,0,0.102,22,tested_negative7,83,78,26,71,29.3,0.767,36,tested_negative0,101,65,28,0,24.6,0.237,22,tested_negative5,137,108,0,0,48.8,0.227,37,tested_positive2,110,74,29,125,32.4,0.698,27,tested_negative13,106,72,54,0,36.6,0.178,45,tested_negative2,100,68,25,71,38.5,0.324,26,tested_negative15,136,70,32,110,37.1,0.153,43,tested_positive1,107,68,19,0,26.5,0.165,24,tested_negative1,80,55,0,0,19.1,0.258,21,tested_negative4,123,80,15,176,32,0.443,34,tested_negative7,81,78,40,48,46.7,0.261,42,tested_negative4,134,72,0,0,23.8,0.277,60,tested_positive2,142,82,18,64,24.7,0.761,21,tested_negative6,144,72,27,228,33.9,0.255,40,tested_negative2,92,62,28,0,31.6,0.13,24,tested_negative1,71,48,18,76,20.4,0.323,22,tested_negative6,93,50,30,64,28.7,0.356,23,tested_negative1,122,90,51,220,49.7,0.325,31,tested_positive1,163,72,0,0,39,1.222,33,tested_positive1,151,60,0,0,26.1,0.179,22,tested_negative0,125,96,0,0,22.5,0.262,21,tested_negative1,81,72,18,40,26.6,0.283,24,tested_negative2,85,65,0,0,39.6,0.93,27,tested_negative1,126,56,29,152,28.7,0.801,21,tested_negative1,96,122,0,0,22.4,0.207,27,tested_negative4,144,58,28,140,29.5,0.287,37,tested_negative3,83,58,31,18,34.3,0.336,25,tested_negative0,95,85,25,36,37.4,0.247,24,tested_positive3,171,72,33,135,33.3,0.199,24,tested_positive8,155,62,26,495,34,0.543,46,tested_positive1,89,76,34,37,31.2,0.192,23,tested_negative4,76,62,0,0,34,0.391,25,tested_negative7,160,54,32,175,30.5,0.588,39,tested_positive4,146,92,0,0,31.2,0.539,61,tested_positive5,124,74,0,0,34,0.22,38,tested_positive5,78,48,0,0,33.7,0.654,25,tested_negative4,97,60,23,0,28.2,0.443,22,tested_negative4,99,76,15,51,23.2,0.223,21,tested_negative0,162,76,56,100,53.2,0.759,25,tested_positive6,111,64,39,0,34.2,0.26,24,tested_negative2,107,74,30,100,33.6,0.404,23,tested_negative5,132,80,0,0,26.8,0.186,69,tested_negative0,113,76,0,0,33.3,0.278,23,tested_positive1,88,30,42,99,55,0.496,26,tested_positive3,120,70,30,135,42.9,0.452,30,tested_negative1,118,58,36,94,33.3,0.261,23,tested_negative1,117,88,24,145,34.5,0.403,40,tested_positive0,105,84,0,0,27.9,0.741,62,tested_positive4,173,70,14,168,29.7,0.361,33,tested_positive9,122,56,0,0,33.3,1.114,33,tested_positive3,170,64,37,225,34.5,0.356,30,tested_positive8,84,74,31,0,38.3,0.457,39,tested_negative2,96,68,13,49,21.1,0.647,26,tested_negative2,125,60,20,140,33.8,0.088,31,tested_negative0,100,70,26,50,30.8,0.597,21,tested_negative0,93,60,25,92,28.7,0.532,22,tested_negative0,129,80,0,0,31.2,0.703,29,tested_negative5,105,72,29,325,36.9,0.159,28,tested_negative3,128,78,0,0,21.1,0.268,55,tested_negative5,106,82,30,0,39.5,0.286,38,tested_negative2,108,52,26,63,32.5,0.318,22,tested_negative10,108,66,0,0,32.4,0.272,42,tested_positive4,154,62,31,284,32.8,0.237,23,tested_negative0,102,75,23,0,0,0.572,21,tested_negative9,57,80,37,0,32.8,0.096,41,tested_negative2,106,64,35,119,30.5,1.4,34,tested_negative5,147,78,0,0,33.7,0.218,65,tested_negative2,90,70,17,0,27.3,0.085,22,tested_negative1,136,74,50,204,37.4,0.399,24,tested_negative4,114,65,0,0,21.9,0.432,37,tested_negative9,156,86,28,155,34.3,1.189,42,tested_positive1,153,82,42,485,40.6,0.687,23,tested_negative8,188,78,0,0,47.9,0.137,43,tested_positive7,152,88,44,0,50,0.337,36,tested_positive2,99,52,15,94,24.6,0.637,21,tested_negative1,109,56,21,135,25.2,0.833,23,tested_negative2,88,74,19,53,29,0.229,22,tested_negative17,163,72,41,114,40.9,0.817,47,tested_positive4,151,90,38,0,29.7,0.294,36,tested_negative7,102,74,40,105,37.2,0.204,45,tested_negative0,114,80,34,285,44.2,0.167,27,tested_negative2,100,64,23,0,29.7,0.368,21,tested_negative0,131,88,0,0,31.6,0.743,32,tested_positive6,104,74,18,156,29.9,0.722,41,tested_positive3,148,66,25,0,32.5,0.256,22,tested_negative4,120,68,0,0,29.6,0.709,34,tested_negative4,110,66,0,0,31.9,0.471,29,tested_negative3,111,90,12,78,28.4,0.495,29,tested_negative6,102,82,0,0,30.8,0.18,36,tested_positive6,134,70,23,130,35.4,0.542,29,tested_positive2,87,0,23,0,28.9,0.773,25,tested_negative1,79,60,42,48,43.5,0.678,23,tested_negative2,75,64,24,55,29.7,0.37,33,tested_negative8,179,72,42,130,32.7,0.719,36,tested_positive6,85,78,0,0,31.2,0.382,42,tested_negative0,129,110,46,130,67.1,0.319,26,tested_positive5,143,78,0,0,45,0.19,47,tested_negative5,130,82,0,0,39.1,0.956,37,tested_positive6,87,80,0,0,23.2,0.084,32,tested_negative0,119,64,18,92,34.9,0.725,23,tested_negative1,0,74,20,23,27.7,0.299,21,tested_negative5,73,60,0,0,26.8,0.268,27,tested_negative4,141,74,0,0,27.6,0.244,40,tested_negative7,194,68,28,0,35.9,0.745,41,tested_positive8,181,68,36,495,30.1,0.615,60,tested_positive1,128,98,41,58,32,1.321,33,tested_positive8,109,76,39,114,27.9,0.64,31,tested_positive5,139,80,35,160,31.6,0.361,25,tested_positive3,111,62,0,0,22.6,0.142,21,tested_negative9,123,70,44,94,33.1,0.374,40,tested_negative7,159,66,0,0,30.4,0.383,36,tested_positive