% 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} @data 1,126,60,0,0,30.1,0.349,47,tested_positive 7,195,70,33,145,25.1,0.163,55,tested_positive 5,158,84,41,210,39.4,0.395,29,tested_positive 1,125,50,40,167,33.3,0.962,28,tested_positive 2,155,74,17,96,26.6,0.433,27,tested_positive 7,100,0,0,0,30,0.484,32,tested_positive 0,105,84,0,0,27.9,0.741,62,tested_positive 0,180,90,26,90,36.5,0.314,35,tested_positive 2,100,66,20,90,32.9,0.867,28,tested_positive 10,90,85,32,0,34.9,0.825,56,tested_positive 0,137,40,35,168,43.1,2.288,33,tested_positive 0,107,62,30,74,36.6,0.757,25,tested_positive 11,143,94,33,146,36.6,0.254,51,tested_positive 5,144,82,26,285,32,0.452,58,tested_positive 3,129,92,49,155,36.4,0.968,32,tested_positive 10,101,86,37,0,45.6,1.136,38,tested_positive 3,112,74,30,0,31.6,0.197,25,tested_positive 6,104,74,18,156,29.9,0.722,41,tested_positive 5,97,76,27,0,35.6,0.378,52,tested_positive 7,161,86,0,0,30.4,0.165,47,tested_positive 4,95,64,0,0,32,0.161,31,tested_positive 7,142,90,24,480,30.4,0.128,43,tested_positive 3,130,78,23,79,28.4,0.323,34,tested_positive 5,115,98,0,0,52.9,0.209,28,tested_positive 4,117,62,12,0,29.7,0.38,30,tested_positive 3,121,52,0,0,36,0.127,25,tested_positive 0,137,68,14,148,24.8,0.143,21,tested_negative 7,94,64,25,79,33.3,0.738,41,tested_negative 1,135,54,0,0,26.7,0.687,62,tested_negative 6,165,68,26,168,33.6,0.631,49,tested_negative 2,81,60,22,0,27.7,0.29,25,tested_negative 5,110,68,0,0,26,0.292,30,tested_negative 6,151,62,31,120,35.5,0.692,28,tested_negative 0,127,80,37,210,36.3,0.804,23,tested_negative 2,108,52,26,63,32.5,0.318,22,tested_negative 0,95,80,45,92,36.5,0.33,26,tested_negative 1,95,74,21,73,25.9,0.673,36,tested_negative 3,123,100,35,240,57.3,0.88,22,tested_negative 5,147,75,0,0,29.9,0.434,28,tested_negative 6,114,0,0,0,0,0.189,26,tested_negative 2,120,76,37,105,39.7,0.215,29,tested_negative 1,111,94,0,0,32.8,0.265,45,tested_negative 1,71,62,0,0,21.8,0.416,26,tested_negative 1,100,74,12,46,19.5,0.149,28,tested_negative 1,79,60,42,48,43.5,0.678,23,tested_negative 4,91,70,32,88,33.1,0.446,22,tested_negative 1,97,68,21,0,27.2,1.095,22,tested_negative 0,93,100,39,72,43.4,1.021,35,tested_negative 2,112,75,32,0,35.7,0.148,21,tested_negative 1,100,72,12,70,25.3,0.658,28,tested_negative 7,179,95,31,0,34.2,0.164,60,tested_negative 10,115,0,0,0,35.3,0.134,29,tested_negative 1,101,50,15,36,24.2,0.526,26,tested_negative 1,146,56,0,0,29.7,0.564,29,tested_negative 5,77,82,41,42,35.8,0.156,35,tested_negative 1,71,78,50,45,33.2,0.422,21,tested_negative 1,107,50,19,0,28.3,0.181,29,tested_negative 6,91,0,0,0,29.8,0.501,31,tested_negative 10,101,76,48,180,32.9,0.171,63,tested_negative 7,105,0,0,0,0,0.305,24,tested_negative 1,103,30,38,83,43.3,0.183,33,tested_negative 2,139,75,0,0,25.6,0.167,29,tested_negative 13,153,88,37,140,40.6,1.174,39,tested_negative 7,136,74,26,135,26,0.647,51,tested_negative 1,108,60,46,178,35.5,0.415,24,tested_negative 2,129,74,26,205,33.2,0.591,25,tested_negative 1,97,70,15,0,18.2,0.147,21,tested_negative 3,111,62,0,0,22.6,0.142,21,tested_negative 2,84,0,0,0,0,0.304,21,tested_negative 7,62,78,0,0,32.6,0.391,41,tested_negative 1,79,75,30,0,32,0.396,22,tested_negative 2,125,60,20,140,33.8,0.088,31,tested_negative 1,90,62,12,43,27.2,0.58,24,tested_negative 3,116,74,15,105,26.3,0.107,24,tested_negative 7,81,78,40,48,46.7,0.261,42,tested_negative 4,122,68,0,0,35,0.394,29,tested_negative 5,137,108,0,0,48.8,0.227,37,tested_positive 1,172,68,49,579,42.4,0.702,28,tested_positive 10,115,0,0,0,0,0.261,30,tested_positive