% 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 3,173,78,39,185,33.8,0.97,31,tested_positive 9,165,88,0,0,30.4,0.302,49,tested_positive 13,152,90,33,29,26.8,0.731,43,tested_positive 8,120,86,0,0,28.4,0.259,22,tested_positive 0,135,68,42,250,42.3,0.365,24,tested_positive 7,129,68,49,125,38.5,0.439,43,tested_positive 3,187,70,22,200,36.4,0.408,36,tested_positive 4,136,70,0,0,31.2,1.182,22,tested_positive 3,128,72,25,190,32.4,0.549,27,tested_positive 0,138,0,0,0,36.3,0.933,25,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 4,145,82,18,0,32.5,0.235,70,tested_positive 0,109,88,30,0,32.5,0.855,38,tested_positive 7,196,90,0,0,39.8,0.451,41,tested_positive 4,148,60,27,318,30.9,0.15,29,tested_positive 8,186,90,35,225,34.5,0.423,37,tested_positive 12,92,62,7,258,27.6,0.926,44,tested_positive 1,199,76,43,0,42.9,1.394,22,tested_positive 0,162,76,36,0,49.6,0.364,26,tested_positive 2,146,0,0,0,27.5,0.24,28,tested_positive 0,121,66,30,165,34.3,0.203,33,tested_positive 1,115,70,30,96,34.6,0.529,32,tested_positive 6,0,68,41,0,39,0.727,41,tested_positive 1,180,0,0,0,43.3,0.282,41,tested_positive 4,134,72,0,0,23.8,0.277,60,tested_positive 1,126,56,29,152,28.7,0.801,21,tested_negative 2,88,74,19,53,29,0.229,22,tested_negative 1,136,74,50,204,37.4,0.399,24,tested_negative 4,117,64,27,120,33.2,0.23,24,tested_negative 1,0,68,35,0,32,0.389,22,tested_negative 2,96,68,13,49,21.1,0.647,26,tested_negative 0,114,80,34,285,44.2,0.167,27,tested_negative 3,125,58,0,0,31.6,0.151,24,tested_negative 0,111,65,0,0,24.6,0.66,31,tested_negative 2,94,76,18,66,31.6,0.649,23,tested_negative 6,144,72,27,228,33.9,0.255,40,tested_negative 5,88,78,30,0,27.6,0.258,37,tested_negative 5,44,62,0,0,25,0.587,36,tested_negative 7,83,78,26,71,29.3,0.767,36,tested_negative 3,124,80,33,130,33.2,0.305,26,tested_negative 11,138,76,0,0,33.2,0.42,35,tested_negative 1,0,74,20,23,27.7,0.299,21,tested_negative 0,101,64,17,0,21,0.252,21,tested_negative 3,120,70,30,135,42.9,0.452,30,tested_negative 0,95,64,39,105,44.6,0.366,22,tested_negative 9,154,78,30,100,30.9,0.164,45,tested_negative 4,144,58,28,140,29.5,0.287,37,tested_negative 10,92,62,0,0,25.9,0.167,31,tested_negative 0,93,60,0,0,35.3,0.263,25,tested_negative 4,189,110,31,0,28.5,0.68,37,tested_negative 5,143,78,0,0,45,0.19,47,tested_negative 1,107,72,30,82,30.8,0.821,24,tested_negative 0,74,52,10,36,27.8,0.269,22,tested_negative 1,80,55,0,0,19.1,0.258,21,tested_negative 2,99,0,0,0,22.2,0.108,23,tested_negative 5,132,80,0,0,26.8,0.186,69,tested_negative 1,109,56,21,135,25.2,0.833,23,tested_negative 2,122,60,18,106,29.8,0.717,22,tested_negative 6,137,61,0,0,24.2,0.151,55,tested_negative 0,129,80,0,0,31.2,0.703,29,tested_negative 9,106,52,0,0,31.2,0.38,42,tested_negative 2,92,76,20,0,24.2,1.698,28,tested_negative 4,131,68,21,166,33.1,0.16,28,tested_negative 1,121,78,39,74,39,0.261,28,tested_negative 9,57,80,37,0,32.8,0.096,41,tested_negative 4,83,86,19,0,29.3,0.317,34,tested_negative 0,78,88,29,40,36.9,0.434,21,tested_negative 3,87,60,18,0,21.8,0.444,21,tested_negative 1,96,64,27,87,33.2,0.289,21,tested_negative 0,119,64,18,92,34.9,0.725,23,tested_negative 4,84,90,23,56,39.5,0.159,25,tested_negative 3,103,72,30,152,27.6,0.73,27,tested_negative 0,161,50,0,0,21.9,0.254,65,tested_negative 2,141,58,34,128,25.4,0.699,24,tested_negative 2,56,56,28,45,24.2,0.332,22,tested_negative