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Visits since 05/11/2005:
384612 
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| KEEL-dataset - data set description |
This section describes main characteristics of the diabetes data set and its attributes:
General information
| Diabetes data set | |||
|---|---|---|---|
| Type | Regression | Origin | Real world |
| Features | 2 | (Real / Integer / Nominal) | (2 / 0 / 0) |
| Instances | 43 | Missing values? | No |
Attribute description
| Attribute | Domain |
|---|---|
| Age | [0.9,15.6] |
| Deficit | [-29.0,-0.2] |
| C_peptide | [3.0,6.6] |
Additional information
This data set concerns the study of the factors affecting patterns of insulin-dependent diabetes mellitus in children. The objective is to investigate the dependence of the level of serum C-peptide on the various other factors in order to understand the patterns of residual insulin secretion. The response measurement is the logarithm of C-peptide concentration (pmol/ml) at the diagnosis, and the predictor measurements age and base deficit, a measure of acidity.
In this section you can download some files related to the diabetes 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 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 LIACC repository. The original page where the data set can be found is: http://www.liaad.up.pt/~ltorgo/Regression/DataSets.html.
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