diabetes_numeric
type: Item
instance of: data set
OpenML dataset ID: 212
dataset version identifier: 1
description: **Author**: \N**Source**: Unknown - \N**Please cite**: \N\NThis data set concerns the study of the factors affecting patterns of\N insulin-dependent diabetes mellitus in children. The objective is to\N investigate the dependence of the level of serum C-peptide on the\N various other factors in order to understand the patterns of residual\N insulin secretion. The response measurement is the logarithm of\N C-peptide concentration (pmol/ml) at the diagnosis, and the predictor\N measurements age and base deficit, a measure of acidity.\N\N Source: collection of regression datasets by Luis Torgo (ltorgo@ncc.up.pt) at\N http://www.ncc.up.pt/~ltorgo/Regression/DataSets.html\N Original source: Book Generalized Additive Models (p.304) by Hastie &\N Tibshirani, Chapman & Hall. \N Characteristics: 43 cases; 3 continuous variables
author name string: Hastie & Tibshirani
author name string: L. Torgo
upload date: 2014-04-23T00:00:00Z
full work available at URL: diabetes numeric.arff
default target attribute: c_peptide
OpenML semantic tag: Health
OpenML semantic tag: Medicine
number of binary features: 0
number of classes: 0
number of features: 3
number of instances: 43
number of instances with missing values: 0
number of missing values: 0
number of numeric features: 3
number of symbolic features: 0
file format: ARFF
MaRDI profile type: Dataset
description: OpenML dataset with id 212