% 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 7,107,74,0,0,29.6,0.254,31,tested_positive 0,140,65,26,130,42.6,0.431,24,tested_positive 4,156,75,0,0,48.3,0.238,32,tested_positive 8,188,78,0,0,47.9,0.137,43,tested_positive 3,162,52,38,0,37.2,0.652,24,tested_positive 1,102,74,0,0,39.5,0.293,42,tested_positive 1,95,82,25,180,35,0.233,43,tested_positive 1,128,98,41,58,32,1.321,33,tested_positive 0,131,66,40,0,34.3,0.196,22,tested_positive 0,146,70,0,0,37.9,0.334,28,tested_positive 0,177,60,29,478,34.6,1.072,21,tested_positive 8,179,72,42,130,32.7,0.719,36,tested_positive 4,183,0,0,0,28.4,0.212,36,tested_positive 8,133,72,0,0,32.9,0.27,39,tested_positive 4,123,62,0,0,32,0.226,35,tested_positive 8,108,70,0,0,30.5,0.955,33,tested_positive 2,144,58,33,135,31.6,0.422,25,tested_positive 0,162,76,56,100,53.2,0.759,25,tested_positive 9,102,76,37,0,32.9,0.665,46,tested_positive 3,173,84,33,474,35.7,0.258,22,tested_positive 6,134,70,23,130,35.4,0.542,29,tested_positive 8,197,74,0,0,25.9,1.191,39,tested_positive 3,107,62,13,48,22.9,0.678,23,tested_positive 3,174,58,22,194,32.9,0.593,36,tested_positive 17,163,72,41,114,40.9,0.817,47,tested_positive 8,176,90,34,300,33.7,0.467,58,tested_positive 8,120,78,0,0,25,0.409,64,tested_negative 0,108,68,20,0,27.3,0.787,32,tested_negative 1,91,64,24,0,29.2,0.192,21,tested_negative 1,143,86,30,330,30.1,0.892,23,tested_negative 4,141,74,0,0,27.6,0.244,40,tested_negative 8,100,76,0,0,38.7,0.19,42,tested_negative 1,100,66,29,196,32,0.444,42,tested_negative 0,91,68,32,210,39.9,0.381,25,tested_negative 1,87,60,37,75,37.2,0.509,22,tested_negative 0,91,80,0,0,32.4,0.601,27,tested_negative 2,82,52,22,115,28.5,1.699,25,tested_negative 2,122,52,43,158,36.2,0.816,28,tested_negative 0,173,78,32,265,46.5,1.159,58,tested_negative 0,146,82,0,0,40.5,1.781,44,tested_negative 2,91,62,0,0,27.3,0.525,22,tested_negative 6,99,60,19,54,26.9,0.497,32,tested_negative 8,110,76,0,0,27.8,0.237,58,tested_negative 6,107,88,0,0,36.8,0.727,31,tested_negative 8,84,74,31,0,38.3,0.457,39,tested_negative 1,77,56,30,56,33.3,1.251,24,tested_negative 1,100,66,15,56,23.6,0.666,26,tested_negative 2,92,52,0,0,30.1,0.141,22,tested_negative 4,99,68,38,0,32.8,0.145,33,tested_negative 0,105,68,22,0,20,0.236,22,tested_negative 0,134,58,20,291,26.4,0.352,21,tested_negative 3,116,0,0,0,23.5,0.187,23,tested_negative 2,107,74,30,100,33.6,0.404,23,tested_negative 12,106,80,0,0,23.6,0.137,44,tested_negative 1,112,80,45,132,34.8,0.217,24,tested_negative 3,142,80,15,0,32.4,0.2,63,tested_negative 5,122,86,0,0,34.7,0.29,33,tested_negative 10,94,72,18,0,23.1,0.595,56,tested_negative 4,151,90,38,0,29.7,0.294,36,tested_negative 2,85,65,0,0,39.6,0.93,27,tested_negative 6,109,60,27,0,25,0.206,27,tested_negative 6,93,50,30,64,28.7,0.356,23,tested_negative 6,105,80,28,0,32.5,0.878,26,tested_negative 3,84,72,32,0,37.2,0.267,28,tested_negative 10,139,80,0,0,27.1,1.441,57,tested_negative 6,166,74,0,0,26.6,0.304,66,tested_negative 10,129,76,28,122,35.9,0.28,39,tested_negative 2,108,64,0,0,30.8,0.158,21,tested_negative 5,116,74,0,0,25.6,0.201,30,tested_negative 6,103,72,32,190,37.7,0.324,55,tested_negative 0,118,64,23,89,0,1.731,21,tested_negative 1,164,82,43,67,32.8,0.341,50,tested_negative 1,130,70,13,105,25.9,0.472,22,tested_negative 0,135,94,46,145,40.6,0.284,26,tested_negative 3,191,68,15,130,30.9,0.299,34,tested_negative 2,122,76,27,200,35.9,0.483,26,tested_negative