% 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 7,103,66,32,0,39.1,0.344,31,tested_positive 1,95,82,25,180,35,0.233,43,tested_positive 0,105,84,0,0,27.9,0.741,62,tested_positive 1,172,68,49,579,42.4,0.702,28,tested_positive 3,173,84,33,474,35.7,0.258,22,tested_positive 6,190,92,0,0,35.5,0.278,66,tested_positive 3,173,82,48,465,38.4,2.137,25,tested_positive 8,108,70,0,0,30.5,0.955,33,tested_positive 2,155,74,17,96,26.6,0.433,27,tested_positive 8,120,86,0,0,28.4,0.259,22,tested_positive 2,134,70,0,0,28.9,0.542,23,tested_positive 5,115,76,0,0,31.2,0.343,44,tested_positive 1,133,102,28,140,32.8,0.234,45,tested_positive 1,122,64,32,156,35.1,0.692,30,tested_positive 1,113,64,35,0,33.6,0.543,21,tested_positive 5,109,62,41,129,35.8,0.514,25,tested_positive 1,119,86,39,220,45.6,0.808,29,tested_positive 5,137,108,0,0,48.8,0.227,37,tested_positive 9,171,110,24,240,45.4,0.721,54,tested_positive 1,88,30,42,99,55,0.496,26,tested_positive 5,158,84,41,210,39.4,0.395,29,tested_positive 6,102,82,0,0,30.8,0.18,36,tested_positive 4,158,78,0,0,32.9,0.803,31,tested_positive 6,104,74,18,156,29.9,0.722,41,tested_positive 5,112,66,0,0,37.8,0.261,41,tested_positive 8,151,78,32,210,42.9,0.516,36,tested_positive 2,95,54,14,88,26.1,0.748,22,tested_negative 3,111,56,39,0,30.1,0.557,30,tested_negative 0,124,56,13,105,21.8,0.452,21,tested_negative 5,86,68,28,71,30.2,0.364,24,tested_negative 4,83,86,19,0,29.3,0.317,34,tested_negative 1,119,88,41,170,45.3,0.507,26,tested_negative 3,84,68,30,106,31.9,0.591,25,tested_negative 3,124,80,33,130,33.2,0.305,26,tested_negative 1,124,60,32,0,35.8,0.514,21,tested_negative 1,99,58,10,0,25.4,0.551,21,tested_negative 1,71,78,50,45,33.2,0.422,21,tested_negative 2,107,74,30,100,33.6,0.404,23,tested_negative 5,143,78,0,0,45,0.19,47,tested_negative 1,130,60,23,170,28.6,0.692,21,tested_negative 4,128,70,0,0,34.3,0.303,24,tested_negative 13,153,88,37,140,40.6,1.174,39,tested_negative 2,90,70,17,0,27.3,0.085,22,tested_negative 4,114,64,0,0,28.9,0.126,24,tested_negative 3,113,50,10,85,29.5,0.626,25,tested_negative 2,109,92,0,0,42.7,0.845,54,tested_negative 0,100,88,60,110,46.8,0.962,31,tested_negative 7,102,74,40,105,37.2,0.204,45,tested_negative 0,67,76,0,0,45.3,0.194,46,tested_negative 0,93,60,0,0,35.3,0.263,25,tested_negative 3,99,54,19,86,25.6,0.154,24,tested_negative 5,99,74,27,0,29,0.203,32,tested_negative 5,123,74,40,77,34.1,0.269,28,tested_negative 3,111,62,0,0,22.6,0.142,21,tested_negative 4,137,84,0,0,31.2,0.252,30,tested_negative 2,71,70,27,0,28,0.586,22,tested_negative 5,95,72,33,0,37.7,0.37,27,tested_negative 1,107,72,30,82,30.8,0.821,24,tested_negative 0,102,64,46,78,40.6,0.496,21,tested_negative 1,96,64,27,87,33.2,0.289,21,tested_negative 6,80,80,36,0,39.8,0.177,28,tested_negative 10,101,76,48,180,32.9,0.171,63,tested_negative 4,144,58,28,140,29.5,0.287,37,tested_negative 0,101,64,17,0,21,0.252,21,tested_negative 0,120,74,18,63,30.5,0.285,26,tested_negative 5,103,108,37,0,39.2,0.305,65,tested_negative 10,139,80,0,0,27.1,1.441,57,tested_negative 6,117,96,0,0,28.7,0.157,30,tested_negative 2,100,70,52,57,40.5,0.677,25,tested_negative 2,108,62,10,278,25.3,0.881,22,tested_negative 3,83,58,31,18,34.3,0.336,25,tested_negative 8,126,88,36,108,38.5,0.349,49,tested_negative 2,92,62,28,0,31.6,0.13,24,tested_negative 1,143,74,22,61,26.2,0.256,21,tested_negative 2,121,70,32,95,39.1,0.886,23,tested_negative 0,98,82,15,84,25.2,0.299,22,tested_negative 0,177,60,29,478,34.6,1.072,21,tested_positive 13,152,90,33,29,26.8,0.731,43,tested_positive