Summary

(No information yet)

License

unknown (from Weka repository)

Dependencies

Tags

arff slurped Weka

Attribute Types

Integer,Floating Point,String

Download

# Instances: 768 / # Attributes: 9
HDF5 (83.8 KB) XML CSV ARFF LibSVM Matlab Octave

Files are converted on demand and the process can take up to a minute. Please wait until download begins.

Original Data Format

arff

Name

pima_diabetes

Version mldata

0

Comment

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)

8. Number of times pregnant

9. Plasma glucose concentration a 2 hours in an oral glucose tolerance test

10. Diastolic blood pressure (mm Hg)

11. Triceps skin fold thickness (mm)

12. 2-Hour serum insulin (mu U/ml)

13. Body mass index (weight in kg/(height in m)^2)

14. Diabetes pedigree function

15. Age (years)

16. Class variable (0 or 1)

17. Missing Attribute Values: None

18. Class Distribution: (class value 1 is interpreted as "tested positive for diabetes")

Class Value Number of instances 0 500 1 268

1. 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

Names

preg,plas,pres,skin,insu,mass,pedi,age,class,

Types

1. numeric
2. numeric
3. numeric
4. numeric
5. numeric
6. numeric
7. numeric
8. numeric
9. nominal:tested_negative,tested_positive

Data (first 10 data points)

preg	plas	pres	skin	insu	mass	pedi	age	class
6	148	72	35	0	33.6	0.627	50	test...
1	85	66	29	0	26.6	0.351	31	test...
8	183	64	0	0	23.3	0.672	32	test...
1	89	66	23	94	28.1	0.167	21	test...
0	137	40	35	168	43.1	2.288	33	test...
5	116	74	0	0	25.6	0.201	30	test...
3	78	50	32	88	31.0	0.248	26	test...
10	115	0	0	0	35.3	0.134	29	test...
2	197	70	45	543	30.5	0.158	53	test...
8	125	96	0	0	0.0	0.232	54	test...
...	...	...	...	...	...	...	...	...

Description

A jarfile containing 37 classification problems, originally obtained from the UCI repository (datasets-UCI.jar, 1,190,961 Bytes).

URLs

(No information yet)

Publications

Data Source

http://www.ics.uci.edu/~mlearn/MLRepository.html

Measurement Details

Usage Scenario

revision 1

by mldata on 2010-11-06 09:57

No one has posted any comments yet. Perhaps you would like to be the first?

Leave a comment

This item was downloaded 7979 times and viewed 11832 times.

No Tasks yet on dataset datasets-UCI diabetes