% 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 6,148,72,35,0,33.6,0.627,50,tested_positive 9,112,82,32,175,34.2,0.26,36,tested_positive 8,155,62,26,495,34,0.543,46,tested_positive 9,145,88,34,165,30.3,0.771,53,tested_positive 7,178,84,0,0,39.9,0.331,41,tested_positive 9,164,84,21,0,30.8,0.831,32,tested_positive 2,118,80,0,0,42.9,0.693,21,tested_positive 7,187,68,39,304,37.7,0.254,41,tested_positive 5,85,74,22,0,29,1.224,32,tested_positive 0,198,66,32,274,41.3,0.502,28,tested_positive 3,173,82,48,465,38.4,2.137,25,tested_positive 1,144,82,46,180,46.1,0.335,46,tested_positive 3,182,74,0,0,30.5,0.345,29,tested_positive 5,136,84,41,88,35,0.286,35,tested_positive 4,125,70,18,122,28.9,1.144,45,tested_positive 7,184,84,33,0,35.5,0.355,41,tested_positive 1,196,76,36,249,36.5,0.875,29,tested_positive 8,154,78,32,0,32.4,0.443,45,tested_positive 9,122,56,0,0,33.3,1.114,33,tested_positive 13,126,90,0,0,43.4,0.583,42,tested_positive 10,168,74,0,0,38,0.537,34,tested_positive 3,176,86,27,156,33.3,1.154,52,tested_positive 4,144,82,32,0,38.5,0.554,37,tested_positive 6,125,76,0,0,33.8,0.121,54,tested_positive 5,162,104,0,0,37.7,0.151,52,tested_positive 5,124,74,0,0,34,0.22,38,tested_positive 4,110,92,0,0,37.6,0.191,30,tested_negative 5,106,82,30,0,39.5,0.286,38,tested_negative 5,121,72,23,112,26.2,0.245,30,tested_negative 13,76,60,0,0,32.8,0.18,41,tested_negative 3,74,68,28,45,29.7,0.293,23,tested_negative 0,126,86,27,120,27.4,0.515,21,tested_negative 1,111,86,19,0,30.1,0.143,23,tested_negative 12,121,78,17,0,26.5,0.259,62,tested_negative 6,92,62,32,126,32,0.085,46,tested_negative 7,133,88,15,155,32.4,0.262,37,tested_negative 11,127,106,0,0,39,0.19,51,tested_negative 1,73,50,10,0,23,0.248,21,tested_negative 7,136,90,0,0,29.9,0.21,50,tested_negative 4,132,86,31,0,28,0.419,63,tested_negative 1,81,72,18,40,26.6,0.283,24,tested_negative 1,80,74,11,60,30,0.527,22,tested_negative 3,113,44,13,0,22.4,0.14,22,tested_negative 6,102,90,39,0,35.7,0.674,28,tested_negative 6,92,92,0,0,19.9,0.188,28,tested_negative 4,90,88,47,54,37.7,0.362,29,tested_negative 2,106,64,35,119,30.5,1.4,34,tested_negative 2,68,62,13,15,20.1,0.257,23,tested_negative 1,116,78,29,180,36.1,0.496,25,tested_negative 1,89,24,19,25,27.8,0.559,21,tested_negative 2,99,52,15,94,24.6,0.637,21,tested_negative 1,82,64,13,95,21.2,0.415,23,tested_negative 1,111,62,13,182,24,0.138,23,tested_negative 5,86,68,28,71,30.2,0.364,24,tested_negative 1,81,74,41,57,46.3,1.096,32,tested_negative 5,103,108,37,0,39.2,0.305,65,tested_negative 4,90,0,0,0,28,0.61,31,tested_negative 3,115,66,39,140,38.1,0.15,28,tested_negative 2,127,58,24,275,27.7,1.6,25,tested_negative 1,85,66,29,0,26.6,0.351,31,tested_negative 6,80,66,30,0,26.2,0.313,41,tested_negative 1,83,68,0,0,18.2,0.624,27,tested_negative 0,102,86,17,105,29.3,0.695,27,tested_negative 2,92,62,28,0,31.6,0.13,24,tested_negative 9,91,68,0,0,24.2,0.2,58,tested_negative 0,126,84,29,215,30.7,0.52,24,tested_negative 9,124,70,33,402,35.4,0.282,34,tested_negative 1,124,74,36,0,27.8,0.1,30,tested_negative 2,100,70,52,57,40.5,0.677,25,tested_negative 0,104,64,23,116,27.8,0.454,23,tested_negative 0,141,84,26,0,32.4,0.433,22,tested_negative 1,90,68,8,0,24.5,1.138,36,tested_negative 0,123,88,37,0,35.2,0.197,29,tested_negative 3,180,64,25,70,34,0.271,26,tested_negative 4,129,60,12,231,27.5,0.527,31,tested_negative 3,111,56,39,0,30.1,0.557,30,tested_negative 0,141,0,0,0,42.4,0.205,29,tested_positive