% 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 0,131,0,0,0,43.2,0.27,26,tested_positive 1,180,0,0,0,43.3,0.282,41,tested_positive 4,144,82,32,0,38.5,0.554,37,tested_positive 1,196,76,36,249,36.5,0.875,29,tested_positive 9,112,82,24,0,28.2,1.282,50,tested_positive 0,129,110,46,130,67.1,0.319,26,tested_positive 6,195,70,0,0,30.9,0.328,31,tested_positive 4,146,78,0,0,38.5,0.52,67,tested_positive 3,141,0,0,0,30,0.761,27,tested_positive 5,162,104,0,0,37.7,0.151,52,tested_positive 2,144,58,33,135,31.6,0.422,25,tested_positive 0,124,70,20,0,27.4,0.254,36,tested_positive 0,119,0,0,0,32.4,0.141,24,tested_positive 9,184,85,15,0,30,1.213,49,tested_positive 1,144,82,46,180,46.1,0.335,46,tested_positive 12,84,72,31,0,29.7,0.297,46,tested_positive 9,164,78,0,0,32.8,0.148,45,tested_positive 5,189,64,33,325,31.2,0.583,29,tested_positive 17,163,72,41,114,40.9,0.817,47,tested_positive 6,115,60,39,0,33.7,0.245,40,tested_positive 8,154,78,32,0,32.4,0.443,45,tested_positive 6,147,80,0,0,29.5,0.178,50,tested_positive 1,128,48,45,194,40.5,0.613,24,tested_positive 11,155,76,28,150,33.3,1.353,51,tested_positive 2,197,70,45,543,30.5,0.158,53,tested_positive 4,145,82,18,0,32.5,0.235,70,tested_positive 0,161,50,0,0,21.9,0.254,65,tested_negative 7,114,76,17,110,23.8,0.466,31,tested_negative 1,97,70,15,0,18.2,0.147,21,tested_negative 0,101,62,0,0,21.9,0.336,25,tested_negative 0,137,70,38,0,33.2,0.17,22,tested_negative 7,62,78,0,0,32.6,0.391,41,tested_negative 0,173,78,32,265,46.5,1.159,58,tested_negative 0,152,82,39,272,41.5,0.27,27,tested_negative 7,81,78,40,48,46.7,0.261,42,tested_negative 0,165,76,43,255,47.9,0.259,26,tested_negative 3,113,44,13,0,22.4,0.14,22,tested_negative 7,150,66,42,342,34.7,0.718,42,tested_negative 6,154,74,32,193,29.3,0.839,39,tested_negative 0,102,86,17,105,29.3,0.695,27,tested_negative 4,123,80,15,176,32,0.443,34,tested_negative 11,103,68,40,0,46.2,0.126,42,tested_negative 6,137,61,0,0,24.2,0.151,55,tested_negative 9,123,70,44,94,33.1,0.374,40,tested_negative 4,97,60,23,0,28.2,0.443,22,tested_negative 1,88,78,29,76,32,0.365,29,tested_negative 1,77,56,30,56,33.3,1.251,24,tested_negative 0,107,60,25,0,26.4,0.133,23,tested_negative 7,94,64,25,79,33.3,0.738,41,tested_negative 0,102,78,40,90,34.5,0.238,24,tested_negative 10,179,70,0,0,35.1,0.2,37,tested_negative 5,147,78,0,0,33.7,0.218,65,tested_negative 0,94,70,27,115,43.5,0.347,21,tested_negative 10,115,0,0,0,35.3,0.134,29,tested_negative 3,116,74,15,105,26.3,0.107,24,tested_negative 9,154,78,30,100,30.9,0.164,45,tested_negative 7,133,84,0,0,40.2,0.696,37,tested_negative 4,95,60,32,0,35.4,0.284,28,tested_negative 5,117,92,0,0,34.1,0.337,38,tested_negative 2,92,52,0,0,30.1,0.141,22,tested_negative 2,122,52,43,158,36.2,0.816,28,tested_negative 0,146,82,0,0,40.5,1.781,44,tested_negative 1,112,80,45,132,34.8,0.217,24,tested_negative 0,91,68,32,210,39.9,0.381,25,tested_negative 6,92,92,0,0,19.9,0.188,28,tested_negative 1,91,54,25,100,25.2,0.234,23,tested_negative 10,129,76,28,122,35.9,0.28,39,tested_negative 0,102,52,0,0,25.1,0.078,21,tested_negative 8,107,80,0,0,24.6,0.856,34,tested_negative 12,88,74,40,54,35.3,0.378,48,tested_negative 6,183,94,0,0,40.8,1.461,45,tested_negative 1,87,78,27,32,34.6,0.101,22,tested_negative 1,117,60,23,106,33.8,0.466,27,tested_negative 1,0,74,20,23,27.7,0.299,21,tested_negative 1,107,50,19,0,28.3,0.181,29,tested_negative 1,97,66,15,140,23.2,0.487,22,tested_negative