% 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 9,102,76,37,0,32.9,0.665,46,tested_positive 7,109,80,31,0,35.9,1.127,43,tested_positive 1,168,88,29,0,35,0.905,52,tested_positive 7,107,74,0,0,29.6,0.254,31,tested_positive 14,175,62,30,0,33.6,0.212,38,tested_positive 7,142,90,24,480,30.4,0.128,43,tested_positive 6,194,78,0,0,23.5,0.129,59,tested_positive 4,132,0,0,0,32.9,0.302,23,tested_positive 10,148,84,48,237,37.6,1.001,51,tested_positive 3,163,70,18,105,31.6,0.268,28,tested_positive 0,104,64,37,64,33.6,0.51,22,tested_positive 7,152,88,44,0,50,0.337,36,tested_positive 1,167,74,17,144,23.4,0.447,33,tested_positive 0,135,68,42,250,42.3,0.365,24,tested_positive 0,138,60,35,167,34.6,0.534,21,tested_positive 1,181,64,30,180,34.1,0.328,38,tested_positive 3,162,52,38,0,37.2,0.652,24,tested_positive 3,170,64,37,225,34.5,0.356,30,tested_positive 7,187,50,33,392,33.9,0.826,34,tested_positive 0,179,90,27,0,44.1,0.686,23,tested_positive 4,123,62,0,0,32,0.226,35,tested_positive 1,181,78,42,293,40,1.258,22,tested_positive 4,173,70,14,168,29.7,0.361,33,tested_positive 1,163,72,0,0,39,1.222,33,tested_positive 7,196,90,0,0,39.8,0.451,41,tested_positive 9,152,78,34,171,34.2,0.893,33,tested_positive 2,127,46,21,335,34.4,0.176,22,tested_negative 0,118,64,23,89,0,1.731,21,tested_negative 0,125,96,0,0,22.5,0.262,21,tested_negative 4,197,70,39,744,36.7,2.329,31,tested_negative 2,88,58,26,16,28.4,0.766,22,tested_negative 1,100,66,29,196,32,0.444,42,tested_negative 5,116,74,0,0,25.6,0.201,30,tested_negative 9,91,68,0,0,24.2,0.2,58,tested_negative 5,44,62,0,0,25,0.587,36,tested_negative 3,122,78,0,0,23,0.254,40,tested_negative 5,121,72,23,112,26.2,0.245,30,tested_negative 3,150,76,0,0,21,0.207,37,tested_negative 0,107,76,0,0,45.3,0.686,24,tested_negative 5,155,84,44,545,38.7,0.619,34,tested_negative 1,146,56,0,0,29.7,0.564,29,tested_negative 1,91,64,24,0,29.2,0.192,21,tested_negative 12,100,84,33,105,30,0.488,46,tested_negative 1,108,88,19,0,27.1,0.4,24,tested_negative 9,120,72,22,56,20.8,0.733,48,tested_negative 0,101,65,28,0,24.6,0.237,22,tested_negative 1,87,68,34,77,37.6,0.401,24,tested_negative 2,112,75,32,0,35.7,0.148,21,tested_negative 0,141,84,26,0,32.4,0.433,22,tested_negative 2,105,58,40,94,34.9,0.225,25,tested_negative 4,122,68,0,0,35,0.394,29,tested_negative 1,125,70,24,110,24.3,0.221,25,tested_negative 2,100,64,23,0,29.7,0.368,21,tested_negative 1,120,80,48,200,38.9,1.162,41,tested_negative 1,143,86,30,330,30.1,0.892,23,tested_negative 3,90,78,0,0,42.7,0.559,21,tested_negative 1,81,74,41,57,46.3,1.096,32,tested_negative 4,131,68,21,166,33.1,0.16,28,tested_negative 2,129,74,26,205,33.2,0.591,25,tested_negative 2,105,75,0,0,23.3,0.56,53,tested_negative 2,108,52,26,63,32.5,0.318,22,tested_negative 3,102,44,20,94,30.8,0.4,26,tested_negative 4,85,58,22,49,27.8,0.306,28,tested_negative 2,108,62,32,56,25.2,0.128,21,tested_negative 1,109,60,8,182,25.4,0.947,21,tested_negative 8,112,72,0,0,23.6,0.84,58,tested_negative 5,139,64,35,140,28.6,0.411,26,tested_negative 3,61,82,28,0,34.4,0.243,46,tested_negative 6,102,90,39,0,35.7,0.674,28,tested_negative 4,141,74,0,0,27.6,0.244,40,tested_negative 8,74,70,40,49,35.3,0.705,39,tested_negative 0,113,80,16,0,31,0.874,21,tested_negative 10,162,84,0,0,27.7,0.182,54,tested_negative 3,130,64,0,0,23.1,0.314,22,tested_negative 3,126,88,41,235,39.3,0.704,27,tested_negative 2,81,60,22,0,27.7,0.29,25,tested_negative