% 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 6,147,80,0,0,29.5,0.178,50,tested_positive 4,115,72,0,0,28.9,0.376,46,tested_positive 9,171,110,24,240,45.4,0.721,54,tested_positive 7,114,66,0,0,32.8,0.258,42,tested_positive 3,193,70,31,0,34.9,0.241,25,tested_positive 7,181,84,21,192,35.9,0.586,51,tested_positive 3,80,82,31,70,34.2,1.292,27,tested_positive 9,145,80,46,130,37.9,0.637,40,tested_positive 8,143,66,0,0,34.9,0.129,41,tested_positive 12,140,82,43,325,39.2,0.528,58,tested_positive 2,105,80,45,191,33.7,0.711,29,tested_positive 8,167,106,46,231,37.6,0.165,43,tested_positive 3,171,72,33,135,33.3,0.199,24,tested_positive 8,120,0,0,0,30,0.183,38,tested_positive 3,169,74,19,125,29.9,0.268,31,tested_positive 1,147,94,41,0,49.3,0.358,27,tested_positive 0,145,0,0,0,44.2,0.63,31,tested_positive 4,125,80,0,0,32.3,0.536,27,tested_positive 5,112,66,0,0,37.8,0.261,41,tested_positive 9,112,82,24,0,28.2,1.282,50,tested_positive 7,168,88,42,321,38.2,0.787,40,tested_positive 5,166,76,0,0,45.7,0.34,27,tested_positive 5,187,76,27,207,43.6,1.034,53,tested_positive 11,135,0,0,0,52.3,0.578,40,tested_positive 13,129,0,30,0,39.9,0.569,44,tested_positive 1,163,72,0,0,39,1.222,33,tested_positive 1,95,60,18,58,23.9,0.26,22,tested_negative 2,112,66,22,0,25,0.307,24,tested_negative 5,111,72,28,0,23.9,0.407,27,tested_negative 1,120,80,48,200,38.9,1.162,41,tested_negative 4,114,64,0,0,28.9,0.126,24,tested_negative 6,117,96,0,0,28.7,0.157,30,tested_negative 8,194,80,0,0,26.1,0.551,67,tested_negative 0,67,76,0,0,45.3,0.194,46,tested_negative 2,81,72,15,76,30.1,0.547,25,tested_negative 4,96,56,17,49,20.8,0.34,26,tested_negative 2,100,54,28,105,37.8,0.498,24,tested_negative 3,99,62,19,74,21.8,0.279,26,tested_negative 2,157,74,35,440,39.4,0.134,30,tested_negative 6,103,66,0,0,24.3,0.249,29,tested_negative 0,107,60,25,0,26.4,0.133,23,tested_negative 1,118,58,36,94,33.3,0.261,23,tested_negative 0,98,82,15,84,25.2,0.299,22,tested_negative 1,125,70,24,110,24.3,0.221,25,tested_negative 5,105,72,29,325,36.9,0.159,28,tested_negative 2,129,0,0,0,38.5,0.304,41,tested_negative 3,89,74,16,85,30.4,0.551,38,tested_negative 1,130,60,23,170,28.6,0.692,21,tested_negative 1,193,50,16,375,25.9,0.655,24,tested_negative 2,99,70,16,44,20.4,0.235,27,tested_negative 3,99,54,19,86,25.6,0.154,24,tested_negative 4,95,60,32,0,35.4,0.284,28,tested_negative 2,146,76,35,194,38.2,0.329,29,tested_negative 0,101,62,0,0,21.9,0.336,25,tested_negative 3,61,82,28,0,34.4,0.243,46,tested_negative 0,152,82,39,272,41.5,0.27,27,tested_negative 5,117,86,30,105,39.1,0.251,42,tested_negative 0,94,70,27,115,43.5,0.347,21,tested_negative 0,100,70,26,50,30.8,0.597,21,tested_negative 1,124,60,32,0,35.8,0.514,21,tested_negative 2,90,70,17,0,27.3,0.085,22,tested_negative 6,96,0,0,0,23.7,0.19,28,tested_negative 1,119,54,13,50,22.3,0.205,24,tested_negative 0,117,66,31,188,30.8,0.493,22,tested_negative 5,136,82,0,0,0,0.64,69,tested_negative 4,110,76,20,100,28.4,0.118,27,tested_negative 1,108,88,19,0,27.1,0.4,24,tested_negative 4,97,60,23,0,28.2,0.443,22,tested_negative 1,119,44,47,63,35.5,0.28,25,tested_negative 2,122,70,27,0,36.8,0.34,27,tested_negative 13,106,72,54,0,36.6,0.178,45,tested_negative 2,129,84,0,0,28,0.284,27,tested_negative 0,102,52,0,0,25.1,0.078,21,tested_negative 3,96,56,34,115,24.7,0.944,39,tested_negative 2,128,64,42,0,40,1.101,24,tested_negative 5,128,80,0,0,34.6,0.144,45,tested_negative 8,181,68,36,495,30.1,0.615,60,tested_positive