This beginner project explores supervised classification of wine-quality ratings from physicochemical measurements in the UCI Wine Quality dataset. The notebook contains the workflow; the embedded source is provided below.

GitHub: Victoria-Pinzhen-Liao/wine-quality

Takeaway

Treat this as a learning workflow, not a validated production quality detector. A meaningful evaluation separates training from held-out data, avoids preprocessing leakage and reports the metric and class balance. No new accuracy or generalization claim is made here without rerunning the notebook.

Open the full notebook if the embedded view does not load.