% 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 4,184,78,39,277,37,0.264,31,tested_positive 7,152,88,44,0,50,0.337,36,tested_positive 2,174,88,37,120,44.5,0.646,24,tested_positive 0,95,85,25,36,37.4,0.247,24,tested_positive 14,175,62,30,0,33.6,0.212,38,tested_positive 1,113,64,35,0,33.6,0.543,21,tested_positive 9,140,94,0,0,32.7,0.734,45,tested_positive 15,136,70,32,110,37.1,0.153,43,tested_positive 5,0,80,32,0,41,0.346,37,tested_positive 2,124,68,28,205,32.9,0.875,30,tested_positive 0,180,78,63,14,59.4,2.42,25,tested_positive 14,100,78,25,184,36.6,0.412,46,tested_positive 11,111,84,40,0,46.8,0.925,45,tested_positive 1,167,74,17,144,23.4,0.447,33,tested_positive 4,173,70,14,168,29.7,0.361,33,tested_positive 10,148,84,48,237,37.6,1.001,51,tested_positive 6,115,60,39,0,33.7,0.245,40,tested_positive 7,159,66,0,0,30.4,0.383,36,tested_positive 3,163,70,18,105,31.6,0.268,28,tested_positive 2,128,78,37,182,43.3,1.224,31,tested_positive 4,146,92,0,0,31.2,0.539,61,tested_positive 12,84,72,31,0,29.7,0.297,46,tested_positive 6,125,78,31,0,27.6,0.565,49,tested_positive 1,122,64,32,156,35.1,0.692,30,tested_positive 7,106,60,24,0,26.5,0.296,29,tested_positive 7,194,68,28,0,35.9,0.745,41,tested_positive 0,102,75,23,0,0,0.572,21,tested_negative 4,197,70,39,744,36.7,2.329,31,tested_negative 2,123,48,32,165,42.1,0.52,26,tested_negative 8,126,74,38,75,25.9,0.162,39,tested_negative 4,85,58,22,49,27.8,0.306,28,tested_negative 8,107,80,0,0,24.6,0.856,34,tested_negative 9,134,74,33,60,25.9,0.46,81,tested_negative 5,126,78,27,22,29.6,0.439,40,tested_negative 5,73,60,0,0,26.8,0.268,27,tested_negative 8,99,84,0,0,35.4,0.388,50,tested_negative 6,87,80,0,0,23.2,0.084,32,tested_negative 4,99,72,17,0,25.6,0.294,28,tested_negative 0,165,90,33,680,52.3,0.427,23,tested_negative 4,137,84,0,0,31.2,0.252,30,tested_negative 2,112,68,22,94,34.1,0.315,26,tested_negative 8,126,88,36,108,38.5,0.349,49,tested_negative 6,108,44,20,130,24,0.813,35,tested_negative 1,92,62,25,41,19.5,0.482,25,tested_negative 7,106,92,18,0,22.7,0.235,48,tested_negative 9,89,62,0,0,22.5,0.142,33,tested_negative 2,89,90,30,0,33.5,0.292,42,tested_negative 3,150,76,0,0,21,0.207,37,tested_negative 2,114,68,22,0,28.7,0.092,25,tested_negative 5,114,74,0,0,24.9,0.744,57,tested_negative 7,125,86,0,0,37.6,0.304,51,tested_negative 1,93,70,31,0,30.4,0.315,23,tested_negative 2,106,56,27,165,29,0.426,22,tested_negative 1,97,64,19,82,18.2,0.299,21,tested_negative 2,120,54,0,0,26.8,0.455,27,tested_negative 1,89,76,34,37,31.2,0.192,23,tested_negative 7,102,74,40,105,37.2,0.204,45,tested_negative 1,114,66,36,200,38.1,0.289,21,tested_negative 6,80,80,36,0,39.8,0.177,28,tested_negative 8,95,72,0,0,36.8,0.485,57,tested_negative 6,123,72,45,230,33.6,0.733,34,tested_negative 0,105,64,41,142,41.5,0.173,22,tested_negative 0,165,76,43,255,47.9,0.259,26,tested_negative 4,120,68,0,0,29.6,0.709,34,tested_negative 5,155,84,44,545,38.7,0.619,34,tested_negative 4,127,88,11,155,34.5,0.598,28,tested_negative 2,83,65,28,66,36.8,0.629,24,tested_negative 3,111,58,31,44,29.5,0.43,22,tested_negative 2,87,58,16,52,32.7,0.166,25,tested_negative 0,139,62,17,210,22.1,0.207,21,tested_negative 2,121,70,32,95,39.1,0.886,23,tested_negative 1,99,72,30,18,38.6,0.412,21,tested_negative 10,122,78,31,0,27.6,0.512,45,tested_negative 5,78,48,0,0,33.7,0.654,25,tested_negative 2,142,82,18,64,24.7,0.761,21,tested_negative 4,95,70,32,0,32.1,0.612,24,tested_negative 3,78,50,32,88,31,0.248,26,tested_positive