Learning archive · Educational project
Diabetes Classification Study
An exercise in tabular classification.
An educational comparison of six classifiers on a 768-record dataset, including data exploration and preprocessing.
The question
Raw tabular values and inconsistent preprocessing can make model comparisons misleading.
How it works
- Inspect feature distributions and invalid values.
- Compare multiple classifiers and examine confusion matrices.
- Keep the preprocessing workflow visible alongside the models.
Evidence & results
- Public repository contains the six-classifier educational analysis.
Scope & next steps
- Not a clinically validated diagnostic system or medical advice.
- Split-safe preprocessing and consistent scaling for single-record inference need further review; comparative accuracy is not promoted.
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