% 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 1,173,74,0,0,36.8,0.088,38,tested_positive 7,100,0,0,0,30,0.484,32,tested_positive 3,173,78,39,185,33.8,0.97,31,tested_positive 3,132,80,0,0,34.4,0.402,44,tested_positive 2,118,80,0,0,42.9,0.693,21,tested_positive 4,171,72,0,0,43.6,0.479,26,tested_positive 3,187,70,22,200,36.4,0.408,36,tested_positive 8,100,74,40,215,39.4,0.661,43,tested_positive 10,125,70,26,115,31.1,0.205,41,tested_positive 0,95,85,25,36,37.4,0.247,24,tested_positive 8,143,66,0,0,34.9,0.129,41,tested_positive 8,179,72,42,130,32.7,0.719,36,tested_positive 7,114,66,0,0,32.8,0.258,42,tested_positive 11,120,80,37,150,42.3,0.785,48,tested_positive 11,136,84,35,130,28.3,0.26,42,tested_positive 7,168,88,42,321,38.2,0.787,40,tested_positive 9,145,80,46,130,37.9,0.637,40,tested_positive 7,147,76,0,0,39.4,0.257,43,tested_positive 1,117,88,24,145,34.5,0.403,40,tested_positive 2,146,0,0,0,27.5,0.24,28,tested_positive 1,128,98,41,58,32,1.321,33,tested_positive 2,90,68,42,0,38.2,0.503,27,tested_positive 6,124,72,0,0,27.6,0.368,29,tested_positive 0,131,88,0,0,31.6,0.743,32,tested_positive 6,134,70,23,130,35.4,0.542,29,tested_positive 3,78,50,32,88,31,0.248,26,tested_positive 10,122,68,0,0,31.2,0.258,41,tested_negative 6,103,66,0,0,24.3,0.249,29,tested_negative 2,106,64,35,119,30.5,1.4,34,tested_negative 0,104,76,0,0,18.4,0.582,27,tested_negative 0,105,68,22,0,20,0.236,22,tested_negative 2,111,60,0,0,26.2,0.343,23,tested_negative 4,116,72,12,87,22.1,0.463,37,tested_negative 1,135,54,0,0,26.7,0.687,62,tested_negative 13,76,60,0,0,32.8,0.18,41,tested_negative 3,74,68,28,45,29.7,0.293,23,tested_negative 5,105,72,29,325,36.9,0.159,28,tested_negative 1,153,82,42,485,40.6,0.687,23,tested_negative 0,129,80,0,0,31.2,0.703,29,tested_negative 3,158,64,13,387,31.2,0.295,24,tested_negative 0,78,88,29,40,36.9,0.434,21,tested_negative 10,92,62,0,0,25.9,0.167,31,tested_negative 4,147,74,25,293,34.9,0.385,30,tested_negative 2,82,52,22,115,28.5,1.699,25,tested_negative 6,92,62,32,126,32,0.085,46,tested_negative 2,99,70,16,44,20.4,0.235,27,tested_negative 7,136,74,26,135,26,0.647,51,tested_negative 3,180,64,25,70,34,0.271,26,tested_negative 4,110,76,20,100,28.4,0.118,27,tested_negative 1,89,24,19,25,27.8,0.559,21,tested_negative 1,107,68,19,0,26.5,0.165,24,tested_negative 9,57,80,37,0,32.8,0.096,41,tested_negative 1,71,48,18,76,20.4,0.323,22,tested_negative 4,96,56,17,49,20.8,0.34,26,tested_negative 2,75,64,24,55,29.7,0.37,33,tested_negative 1,90,62,18,59,25.1,1.268,25,tested_negative 1,164,82,43,67,32.8,0.341,50,tested_negative 2,85,65,0,0,39.6,0.93,27,tested_negative 0,139,62,17,210,22.1,0.207,21,tested_negative 1,138,82,0,0,40.1,0.236,28,tested_negative 2,146,76,35,194,38.2,0.329,29,tested_negative 6,165,68,26,168,33.6,0.631,49,tested_negative 0,73,0,0,0,21.1,0.342,25,tested_negative 5,147,75,0,0,29.9,0.434,28,tested_negative 6,85,78,0,0,31.2,0.382,42,tested_negative 0,108,68,20,0,27.3,0.787,32,tested_negative 8,110,76,0,0,27.8,0.237,58,tested_negative 2,141,58,34,128,25.4,0.699,24,tested_negative 1,97,68,21,0,27.2,1.095,22,tested_negative 2,83,65,28,66,36.8,0.629,24,tested_negative 4,76,62,0,0,34,0.391,25,tested_negative 5,111,72,28,0,23.9,0.407,27,tested_negative 3,78,70,0,0,32.5,0.27,39,tested_negative 2,128,64,42,0,40,1.101,24,tested_negative 8,120,78,0,0,25,0.409,64,tested_negative 1,109,56,21,135,25.2,0.833,23,tested_negative 8,183,64,0,0,23.3,0.672,32,tested_positive 4,146,92,0,0,31.2,0.539,61,tested_positive