% 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 7,161,86,0,0,30.4,0.165,47,tested_positive 4,95,64,0,0,32,0.161,31,tested_positive 7,150,78,29,126,35.2,0.692,54,tested_positive 13,129,0,30,0,39.9,0.569,44,tested_positive 4,111,72,47,207,37.1,1.39,56,tested_positive 0,109,88,30,0,32.5,0.855,38,tested_positive 9,165,88,0,0,30.4,0.302,49,tested_positive 2,146,70,38,360,28,0.337,29,tested_positive 13,126,90,0,0,43.4,0.583,42,tested_positive 3,128,72,25,190,32.4,0.549,27,tested_positive 10,129,62,36,0,41.2,0.441,38,tested_positive 7,129,68,49,125,38.5,0.439,43,tested_positive 0,162,76,36,0,49.6,0.364,26,tested_positive 7,106,60,24,0,26.5,0.296,29,tested_positive 13,158,114,0,0,42.3,0.257,44,tested_positive 1,126,60,0,0,30.1,0.349,47,tested_positive 5,0,80,32,0,41,0.346,37,tested_positive 0,198,66,32,274,41.3,0.502,28,tested_positive 2,102,86,36,120,45.5,0.127,23,tested_positive 3,182,74,0,0,30.5,0.345,29,tested_positive 5,187,76,27,207,43.6,1.034,53,tested_positive 8,155,62,26,495,34,0.543,46,tested_positive 6,0,68,41,0,39,0.727,41,tested_positive 3,176,86,27,156,33.3,1.154,52,tested_positive 8,181,68,36,495,30.1,0.615,60,tested_positive 0,131,66,40,0,34.3,0.196,22,tested_positive 1,96,122,0,0,22.4,0.207,27,tested_negative 3,81,86,16,66,27.5,0.306,22,tested_negative 4,114,65,0,0,21.9,0.432,37,tested_negative 6,96,0,0,0,23.7,0.19,28,tested_negative 0,74,52,10,36,27.8,0.269,22,tested_negative 11,138,76,0,0,33.2,0.42,35,tested_negative 1,139,62,41,480,40.7,0.536,21,tested_negative 3,100,68,23,81,31.6,0.949,28,tested_negative 8,85,55,20,0,24.4,0.136,42,tested_negative 0,111,65,0,0,24.6,0.66,31,tested_negative 1,139,46,19,83,28.7,0.654,22,tested_negative 11,127,106,0,0,39,0.19,51,tested_negative 3,82,70,0,0,21.1,0.389,25,tested_negative 3,191,68,15,130,30.9,0.299,34,tested_negative 6,105,80,28,0,32.5,0.878,26,tested_negative 1,84,64,23,115,36.9,0.471,28,tested_negative 2,119,0,0,0,19.6,0.832,72,tested_negative 0,84,64,22,66,35.8,0.545,21,tested_negative 3,80,0,0,0,0,0.174,22,tested_negative 8,118,72,19,0,23.1,1.476,46,tested_negative 0,125,68,0,0,24.7,0.206,21,tested_negative 5,104,74,0,0,28.8,0.153,48,tested_negative 5,77,82,41,42,35.8,0.156,35,tested_negative 1,87,60,37,75,37.2,0.509,22,tested_negative 4,151,90,38,0,29.7,0.294,36,tested_negative 3,142,80,15,0,32.4,0.2,63,tested_negative 6,103,72,32,190,37.7,0.324,55,tested_negative 2,68,62,13,15,20.1,0.257,23,tested_negative 0,117,80,31,53,45.2,0.089,24,tested_negative 1,119,44,47,63,35.5,0.28,25,tested_negative 4,132,86,31,0,28,0.419,63,tested_negative 8,126,74,38,75,25.9,0.162,39,tested_negative 3,106,72,0,0,25.8,0.207,27,tested_negative 1,95,66,13,38,19.6,0.334,25,tested_negative 5,136,82,0,0,0,0.64,69,tested_negative 5,106,82,30,0,39.5,0.286,38,tested_negative 5,99,54,28,83,34,0.499,30,tested_negative 0,132,78,0,0,32.4,0.393,21,tested_negative 4,189,110,31,0,28.5,0.68,37,tested_negative 7,136,90,0,0,29.9,0.21,50,tested_negative 3,103,72,30,152,27.6,0.73,27,tested_negative 6,108,44,20,130,24,0.813,35,tested_negative 2,91,62,0,0,27.3,0.525,22,tested_negative 0,93,100,39,72,43.4,1.021,35,tested_negative 2,139,75,0,0,25.6,0.167,29,tested_negative 2,99,52,15,94,24.6,0.637,21,tested_negative 5,110,68,0,0,26,0.292,30,tested_negative 0,105,90,0,0,29.6,0.197,46,tested_negative 1,101,50,15,36,24.2,0.526,26,tested_negative 1,157,72,21,168,25.6,0.123,24,tested_negative