% 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 11,136,84,35,130,28.3,0.26,42,tested_positive 8,109,76,39,114,27.9,0.64,31,tested_positive 4,109,64,44,99,34.8,0.905,26,tested_positive 0,104,64,37,64,33.6,0.51,22,tested_positive 1,133,102,28,140,32.8,0.234,45,tested_positive 6,134,80,37,370,46.2,0.238,46,tested_positive 11,120,80,37,150,42.3,0.785,48,tested_positive 5,130,82,0,0,39.1,0.956,37,tested_positive 4,146,78,0,0,38.5,0.52,67,tested_positive 13,158,114,0,0,42.3,0.257,44,tested_positive 0,179,90,27,0,44.1,0.686,23,tested_positive 0,189,104,25,0,34.3,0.435,41,tested_positive 0,129,110,46,130,67.1,0.319,26,tested_positive 5,166,72,19,175,25.8,0.587,51,tested_positive 0,188,82,14,185,32,0.682,22,tested_positive 1,119,86,39,220,45.6,0.808,29,tested_positive 7,103,66,32,0,39.1,0.344,31,tested_positive 8,151,78,32,210,42.9,0.516,36,tested_positive 4,132,0,0,0,32.9,0.302,23,tested_positive 0,124,70,20,0,27.4,0.254,36,tested_positive 3,158,76,36,245,31.6,0.851,28,tested_positive 2,146,70,38,360,28,0.337,29,tested_positive 3,158,70,30,328,35.5,0.344,35,tested_positive 7,114,64,0,0,27.4,0.732,34,tested_positive 0,118,84,47,230,45.8,0.551,31,tested_positive 12,151,70,40,271,41.8,0.742,38,tested_positive 3,82,70,0,0,21.1,0.389,25,tested_negative 0,86,68,32,0,35.8,0.238,25,tested_negative 1,157,72,21,168,25.6,0.123,24,tested_negative 13,145,82,19,110,22.2,0.245,57,tested_negative 8,85,55,20,0,24.4,0.136,42,tested_negative 1,140,74,26,180,24.1,0.828,23,tested_negative 10,68,106,23,49,35.5,0.285,47,tested_negative 1,96,122,0,0,22.4,0.207,27,tested_negative 3,102,74,0,0,29.5,0.121,32,tested_negative 3,99,80,11,64,19.3,0.284,30,tested_negative 0,132,78,0,0,32.4,0.393,21,tested_negative 1,107,68,19,0,26.5,0.165,24,tested_negative 7,119,0,0,0,25.2,0.209,37,tested_negative 2,98,60,17,120,34.7,0.198,22,tested_negative 3,102,44,20,94,30.8,0.4,26,tested_negative 8,112,72,0,0,23.6,0.84,58,tested_negative 1,87,68,34,77,37.6,0.401,24,tested_negative 2,110,74,29,125,32.4,0.698,27,tested_negative 3,84,68,30,106,31.9,0.591,25,tested_negative 0,137,84,27,0,27.3,0.231,59,tested_negative 2,74,0,0,0,0,0.102,22,tested_negative 3,90,78,0,0,42.7,0.559,21,tested_negative 0,94,0,0,0,0,0.256,25,tested_negative 4,147,74,25,293,34.9,0.385,30,tested_negative 5,99,54,28,83,34,0.499,30,tested_negative 5,117,92,0,0,34.1,0.337,38,tested_negative 3,113,50,10,85,29.5,0.626,25,tested_negative 2,99,60,17,160,36.6,0.453,21,tested_negative 1,116,70,28,0,27.4,0.204,21,tested_negative 3,83,58,31,18,34.3,0.336,25,tested_negative 2,175,88,0,0,22.9,0.326,22,tested_negative 0,106,70,37,148,39.4,0.605,22,tested_negative 6,154,74,32,193,29.3,0.839,39,tested_negative 1,151,60,0,0,26.1,0.179,22,tested_negative 5,99,74,27,0,29,0.203,32,tested_negative 0,119,66,27,0,38.8,0.259,22,tested_negative 5,95,72,33,0,37.7,0.37,27,tested_negative 1,119,88,41,170,45.3,0.507,26,tested_negative 5,108,72,43,75,36.1,0.263,33,tested_negative 2,108,62,32,56,25.2,0.128,21,tested_negative 0,105,90,0,0,29.6,0.197,46,tested_negative 1,87,78,27,32,34.6,0.101,22,tested_negative 1,84,64,23,115,36.9,0.471,28,tested_negative 3,122,78,0,0,23,0.254,40,tested_negative 3,108,62,24,0,26,0.223,25,tested_negative 1,143,84,23,310,42.4,1.076,22,tested_negative 4,112,78,40,0,39.4,0.236,38,tested_negative 1,131,64,14,415,23.7,0.389,21,tested_negative 1,86,66,52,65,41.3,0.917,29,tested_negative 10,179,70,0,0,35.1,0.2,37,tested_negative