% 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 1,199,76,43,0,42.9,1.394,22,tested_positive 5,136,84,41,88,35,0.286,35,tested_positive 9,164,84,21,0,30.8,0.831,32,tested_positive 4,156,75,0,0,48.3,0.238,32,tested_positive 0,179,50,36,159,37.8,0.455,22,tested_positive 0,107,62,30,74,36.6,0.757,25,tested_positive 0,180,66,39,0,42,1.893,25,tested_positive 1,147,94,41,0,49.3,0.358,27,tested_positive 4,109,64,44,99,34.8,0.905,26,tested_positive 8,125,96,0,0,0,0.232,54,tested_positive 2,100,66,20,90,32.9,0.867,28,tested_positive 7,160,54,32,175,30.5,0.588,39,tested_positive 11,143,94,33,146,36.6,0.254,51,tested_positive 2,174,88,37,120,44.5,0.646,24,tested_positive 3,112,74,30,0,31.6,0.197,25,tested_positive 9,130,70,0,0,34.2,0.652,45,tested_positive 2,197,70,99,0,34.7,0.575,62,tested_positive 11,111,84,40,0,46.8,0.925,45,tested_positive 6,162,62,0,0,24.3,0.178,50,tested_positive 7,195,70,33,145,25.1,0.163,55,tested_positive 7,184,84,33,0,35.5,0.355,41,tested_positive 5,115,98,0,0,52.9,0.209,28,tested_positive 3,129,92,49,155,36.4,0.968,32,tested_positive 4,115,72,0,0,28.9,0.376,46,tested_positive 3,129,64,29,115,26.4,0.219,28,tested_positive 3,158,70,30,328,35.5,0.344,35,tested_positive 4,120,68,0,0,29.6,0.709,34,tested_negative 0,117,0,0,0,33.8,0.932,44,tested_negative 1,121,78,39,74,39,0.261,28,tested_negative 1,100,74,12,46,19.5,0.149,28,tested_negative 2,120,76,37,105,39.7,0.215,29,tested_negative 2,115,64,22,0,30.8,0.421,21,tested_negative 7,119,0,0,0,25.2,0.209,37,tested_negative 4,90,0,0,0,28,0.61,31,tested_negative 2,89,90,30,0,33.5,0.292,42,tested_negative 5,126,78,27,22,29.6,0.439,40,tested_negative 3,125,58,0,0,31.6,0.151,24,tested_negative 2,101,58,35,90,21.8,0.155,22,tested_negative 5,78,48,0,0,33.7,0.654,25,tested_negative 0,137,84,27,0,27.3,0.231,59,tested_negative 1,89,76,34,37,31.2,0.192,23,tested_negative 1,131,64,14,415,23.7,0.389,21,tested_negative 1,140,74,26,180,24.1,0.828,23,tested_negative 8,84,74,31,0,38.3,0.457,39,tested_negative 2,123,48,32,165,42.1,0.52,26,tested_negative 3,128,78,0,0,21.1,0.268,55,tested_negative 2,87,58,16,52,32.7,0.166,25,tested_negative 6,166,74,0,0,26.6,0.304,66,tested_negative 9,124,70,33,402,35.4,0.282,34,tested_negative 0,91,80,0,0,32.4,0.601,27,tested_negative 3,96,78,39,0,37.3,0.238,40,tested_negative 2,56,56,28,45,24.2,0.332,22,tested_negative 9,72,78,25,0,31.6,0.28,38,tested_negative 4,154,62,31,284,32.8,0.237,23,tested_negative 0,102,75,23,0,0,0.572,21,tested_negative 1,136,74,50,204,37.4,0.399,24,tested_negative 1,88,62,24,44,29.9,0.422,23,tested_negative 4,99,72,17,0,25.6,0.294,28,tested_negative 2,112,66,22,0,25,0.307,24,tested_negative 3,115,66,39,140,38.1,0.15,28,tested_negative 3,120,70,30,135,42.9,0.452,30,tested_negative 7,106,92,18,0,22.7,0.235,48,tested_negative 2,94,76,18,66,31.6,0.649,23,tested_negative 1,143,84,23,310,42.4,1.076,22,tested_negative 2,125,60,20,140,33.8,0.088,31,tested_negative 0,106,70,37,148,39.4,0.605,22,tested_negative 7,125,86,0,0,37.6,0.304,51,tested_negative 2,98,60,17,120,34.7,0.198,22,tested_negative 7,179,95,31,0,34.2,0.164,60,tested_negative 4,129,86,20,270,35.1,0.231,23,tested_negative 1,90,62,12,43,27.2,0.58,24,tested_negative 3,111,90,12,78,28.4,0.495,29,tested_negative 6,105,70,32,68,30.8,0.122,37,tested_negative 7,159,64,0,0,27.4,0.294,40,tested_negative 1,128,82,17,183,27.5,0.115,22,tested_negative 2,110,74,29,125,32.4,0.698,27,tested_negative