% 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 9,184,85,15,0,30,1.213,49,tested_positive 2,102,86,36,120,45.5,0.127,23,tested_positive 6,190,92,0,0,35.5,0.278,66,tested_positive 2,158,90,0,0,31.6,0.805,66,tested_positive 3,132,80,0,0,34.4,0.402,44,tested_positive 1,128,88,39,110,36.5,1.057,37,tested_positive 10,129,62,36,0,41.2,0.441,38,tested_positive 11,155,76,28,150,33.3,1.353,51,tested_positive 1,173,74,0,0,36.8,0.088,38,tested_positive 6,119,50,22,176,27.1,1.318,33,tested_positive 0,167,0,0,0,32.3,0.839,30,tested_positive 0,138,60,35,167,34.6,0.534,21,tested_positive 6,195,70,0,0,30.9,0.328,31,tested_positive 1,88,30,42,99,55,0.496,26,tested_positive 8,105,100,36,0,43.3,0.239,45,tested_positive 8,125,96,0,0,0,0.232,54,tested_positive 10,125,70,26,115,31.1,0.205,41,tested_positive 9,156,86,0,0,24.8,0.23,53,tested_positive 9,130,70,0,0,34.2,0.652,45,tested_positive 10,108,66,0,0,32.4,0.272,42,tested_positive 0,119,0,0,0,32.4,0.141,24,tested_positive 8,124,76,24,600,28.7,0.687,52,tested_positive 0,180,66,39,0,42,1.893,25,tested_positive 2,93,64,32,160,38,0.674,23,tested_positive 7,150,78,29,126,35.2,0.692,54,tested_positive 9,119,80,35,0,29,0.263,29,tested_positive 6,154,78,41,140,46.1,0.571,27,tested_negative 10,75,82,0,0,33.3,0.263,38,tested_negative 2,117,90,19,71,25.2,0.313,21,tested_negative 0,117,0,0,0,33.8,0.932,44,tested_negative 0,125,96,0,0,22.5,0.262,21,tested_negative 10,133,68,0,0,27,0.245,36,tested_negative 2,68,70,32,66,25,0.187,25,tested_negative 8,65,72,23,0,32,0.6,42,tested_negative 2,100,64,23,0,29.7,0.368,21,tested_negative 2,119,0,0,0,19.6,0.832,72,tested_negative 0,97,64,36,100,36.8,0.6,25,tested_negative 1,139,62,41,480,40.7,0.536,21,tested_negative 7,133,84,0,0,40.2,0.696,37,tested_negative 3,126,88,41,235,39.3,0.704,27,tested_negative 5,147,78,0,0,33.7,0.218,65,tested_negative 8,91,82,0,0,35.6,0.587,68,tested_negative 1,139,46,19,83,28.7,0.654,22,tested_negative 1,109,38,18,120,23.1,0.407,26,tested_negative 6,114,88,0,0,27.8,0.247,66,tested_negative 1,143,74,22,61,26.2,0.256,21,tested_negative 2,112,86,42,160,38.4,0.246,28,tested_negative 0,101,76,0,0,35.7,0.198,26,tested_negative 2,90,60,0,0,23.5,0.191,25,tested_negative 4,129,86,20,270,35.1,0.231,23,tested_negative 4,116,72,12,87,22.1,0.463,37,tested_negative 3,106,72,0,0,25.8,0.207,27,tested_negative 9,123,70,44,94,33.1,0.374,40,tested_negative 4,154,62,31,284,32.8,0.237,23,tested_negative 0,84,64,22,66,35.8,0.545,21,tested_negative 1,71,48,18,76,20.4,0.323,22,tested_negative 3,81,86,16,66,27.5,0.306,22,tested_negative 1,0,48,20,0,24.7,0.14,22,tested_negative 11,85,74,0,0,30.1,0.3,35,tested_negative 12,100,84,33,105,30,0.488,46,tested_negative 1,88,62,24,44,29.9,0.422,23,tested_negative 4,118,70,0,0,44.5,0.904,26,tested_negative 6,98,58,33,190,34,0.43,43,tested_negative 2,130,96,0,0,22.6,0.268,21,tested_negative 5,109,75,26,0,36,0.546,60,tested_negative 6,85,78,0,0,31.2,0.382,42,tested_negative 2,105,58,40,94,34.9,0.225,25,tested_negative 12,140,85,33,0,37.4,0.244,41,tested_negative 1,90,62,18,59,25.1,1.268,25,tested_negative 0,84,82,31,125,38.2,0.233,23,tested_negative 7,137,90,41,0,32,0.391,39,tested_negative 4,128,70,0,0,34.3,0.303,24,tested_negative 0,113,80,16,0,31,0.874,21,tested_negative 2,84,50,23,76,30.4,0.968,21,tested_negative 3,158,64,13,387,31.2,0.295,24,tested_negative 4,123,80,15,176,32,0.443,34,tested_negative 0,123,72,0,0,36.3,0.258,52,tested_positive