% 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 7,159,66,0,0,30.4,0.383,36,tested_positive 14,100,78,25,184,36.6,0.412,46,tested_positive 3,169,74,19,125,29.9,0.268,31,tested_positive 5,168,64,0,0,32.9,0.135,41,tested_positive 4,136,70,0,0,31.2,1.182,22,tested_positive 1,149,68,29,127,29.3,0.349,42,tested_positive 10,168,74,0,0,38,0.537,34,tested_positive 0,121,66,30,165,34.3,0.203,33,tested_positive 12,151,70,40,271,41.8,0.742,38,tested_positive 1,125,50,40,167,33.3,0.962,28,tested_positive 0,151,90,46,0,42.1,0.371,21,tested_positive 5,97,76,27,0,35.6,0.378,52,tested_positive 4,125,70,18,122,28.9,1.144,45,tested_positive 3,171,72,33,135,33.3,0.199,24,tested_positive 1,189,60,23,846,30.1,0.398,59,tested_positive 12,92,62,7,258,27.6,0.926,44,tested_positive 8,105,100,36,0,43.3,0.239,45,tested_positive 3,80,82,31,70,34.2,1.292,27,tested_positive 0,167,0,0,0,32.3,0.839,30,tested_positive 0,162,76,56,100,53.2,0.759,25,tested_positive 9,122,56,0,0,33.3,1.114,33,tested_positive 7,187,68,39,304,37.7,0.254,41,tested_positive 9,170,74,31,0,44,0.403,43,tested_positive 7,178,84,0,0,39.9,0.331,41,tested_positive 6,134,80,37,370,46.2,0.238,46,tested_positive 4,183,0,0,0,28.4,0.212,36,tested_positive 2,101,58,17,265,24.2,0.614,23,tested_negative 8,91,82,0,0,35.6,0.587,68,tested_negative 0,104,64,23,116,27.8,0.454,23,tested_negative 1,105,58,0,0,24.3,0.187,21,tested_negative 1,112,72,30,176,34.4,0.528,25,tested_negative 1,116,70,28,0,27.4,0.204,21,tested_negative 6,114,88,0,0,27.8,0.247,66,tested_negative 12,121,78,17,0,26.5,0.259,62,tested_negative 2,94,68,18,76,26,0.561,21,tested_negative 7,142,60,33,190,28.8,0.687,61,tested_negative 0,147,85,54,0,42.8,0.375,24,tested_negative 13,106,70,0,0,34.2,0.251,52,tested_negative 6,109,60,27,0,25,0.206,27,tested_negative 0,57,60,0,0,21.7,0.735,67,tested_negative 2,100,68,25,71,38.5,0.324,26,tested_negative 12,106,80,0,0,23.6,0.137,44,tested_negative 1,80,55,0,0,19.1,0.258,21,tested_negative 3,123,100,35,240,57.3,0.88,22,tested_negative 2,68,70,32,66,25,0.187,25,tested_negative 3,102,74,0,0,29.5,0.121,32,tested_negative 2,100,54,28,105,37.8,0.498,24,tested_negative 7,124,70,33,215,25.5,0.161,37,tested_negative 5,158,70,0,0,29.8,0.207,63,tested_negative 3,89,74,16,85,30.4,0.551,38,tested_negative 6,98,58,33,190,34,0.43,43,tested_negative 7,133,88,15,155,32.4,0.262,37,tested_negative 6,125,68,30,120,30,0.464,32,tested_negative 0,126,84,29,215,30.7,0.52,24,tested_negative 0,94,0,0,0,0,0.256,25,tested_negative 4,110,66,0,0,31.9,0.471,29,tested_negative 2,83,66,23,50,32.2,0.497,22,tested_negative 2,90,60,0,0,23.5,0.191,25,tested_negative 5,109,75,26,0,36,0.546,60,tested_negative 4,99,76,15,51,23.2,0.223,21,tested_negative 5,73,60,0,0,26.8,0.268,27,tested_negative 1,119,54,13,50,22.3,0.205,24,tested_negative 10,75,82,0,0,33.3,0.263,38,tested_negative 4,146,85,27,100,28.9,0.189,27,tested_negative 2,74,0,0,0,0,0.102,22,tested_negative 2,88,74,19,53,29,0.229,22,tested_negative 2,122,70,27,0,36.8,0.34,27,tested_negative 1,79,60,42,48,43.5,0.678,23,tested_negative 3,96,56,34,115,24.7,0.944,39,tested_negative 1,82,64,13,95,21.2,0.415,23,tested_negative 8,194,80,0,0,26.1,0.551,67,tested_negative 2,84,50,23,76,30.4,0.968,21,tested_negative 0,105,64,41,142,41.5,0.173,22,tested_negative 1,116,78,29,180,36.1,0.496,25,tested_negative 1,144,82,40,0,41.3,0.607,28,tested_negative 0,95,64,39,105,44.6,0.366,22,tested_negative