This section describes main characteristics of the pima data set and its attributes:
General information
Pima Indians Diabetes data set |
Type | Classification | Origin | Laboratory |
Features | 8 | (Real / Integer / Nominal) | (8 / 0 / 0) |
Instances | 768 |
Classes | 2 |
Missing values? | No |
Attribute description
Attribute | Domain |
Preg | [0.0, 17.0] |
Plas | [0.0, 199.0] |
Pres | [0.0, 122.0] |
Skin | [0.0, 99.0] |
Insu | [0.0, 846.0] |
Mass | [0.0, 67.1] |
Pedi | [0.078, 2.42] |
Age | [21.0, 81.0] |
Class | {tested_negative,tested_positive} |
Additional information
From National Institute of Diabetes and Digestive and Kidney Diseases. 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.
The class label represents if the person has not diabetes (tested_negative) or the person has diabetes (tested_positive).
Attribute information:
1. Preg = Number of times pregnant
2. Plas = Plasma glucose concentration a 2 hours in an oral glucose tolerance test
3. Pres = Diastolic blood pressure (mm Hg)
4. Skin = Triceps skin fold thickness (mm)
5. Insu = 2-Hour serum insulin (mu U/ml)
6. Mass = Body mass index (weight in kg/(height in m)^2)
7. Pedi = Diabetes pedigree function
8. Age = Age (years)
In this section you can download some files related to the pima data set:
- The complete data set already formatted in KEEL format can be downloaded from
here.
- A copy of the data set already partitioned by means of a 10-folds cross validation procedure can be downloaded from here.
- A copy of the data set already partitioned by means of a 5-folds cross validation procedure can be downloaded from here.
- The header file associated to this data set can be downloaded from here.
- This is not a native data set from the KEEL project. It has been obtained from the UCI Machine Learning Repository. The original page where the data set can be found is: http://archive.ics.uci.edu/ml/datasets/Pima+Indians+Diabetes.
|