Machine Learning Model to Predict diabetes based on 9 predictors and 1 target.
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Data variables Predictors
Number of times pregnant (preg)
Plasma glucose concentration a 2 hours in an oral glucose tolerance test (plas)
Diastolic blood pressure in mm Hg (pres)
Triceps skin fold thickness in mm (skin)
2-Hour serum insulin in mu U/ml (insu)
Body mass index measured as weight in kg/(height in m)^2 (mass)
Diabetes pedigree function (pedi)
Age in years (age)
Output is 0 or 1(0 for no diabetes and 1 for diabetes
Cite As
Akhilesh Kumar (2026). Machine Learning Model to Predict diabetes (https://www.mathworks.com/matlabcentral/fileexchange/77326-machine-learning-model-to-predict-diabetes), MATLAB Central File Exchange. Retrieved .
General Information
- Version 1.0.0 (159 KB)
MATLAB Release Compatibility
- Compatible with R2017b and later releases
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0 |