{
    "data_id": "126",
    "name": "diabetes_numeric",
    "exact_name": "diabetes_numeric",
    "version": 1,
    "version_label": "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",
    "format": "ARFF",
    "uploader": "Jan van Rijn",
    "uploader_id": 1,
    "visibility": "public",
    "creator": null,
    "contributor": null,
    "date": "2014-04-23 13:17:30",
    "update_comment": null,
    "last_update": "2014-04-23 13:17:30",
    "licence": "Public",
    "status": "active",
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    "url": "https:\/\/www.openml.org\/data\/download\/3649\/dataset_2198_diabetes_numeric.arff",
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    "runs": 0,
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