Ghentlesteve/wine-quality-svc-tuning

Wine quality classification with a Support Vector Classifier and grid-search hyperparameter tuning (Python, scikit-learn)

Learning & listsJupyter Notebook

1.8 Quiet Magnitude out of 10 — how fast interest is growing, not a quality score. Star growth looks organic. Data as of September 29, 2026, 13:28 UTC.

Open on Seismograph Open on GitHub

About the project

An educational Jupyter notebook: classifying Vinho Verde wine quality with an SVC and grid-search hyperparameter tuning, showing why accuracy is misleading on imbalanced data.

Useful for

Reproduce the class-imbalance analysis on the Wine Quality dataset
Compare a baseline SVC with a grid-searched model via accuracy and confusion matrices
Reuse the custom log-loss scoring function example for SVC

README summarized by DeepSeek V4.1 Flash. Details may be inaccurate.

Why it’s trending

2 stars so far today, about 3 expected by the end of the day.
The repository is 1 day old and already has 139 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet.
Top new repositories this week: #105.
About 280 forks a day — people are taking the code.

Stars per day

Bars are daily stars, the line is the usual pace. Red marks spike days.

Numbers

Total stars: 139
Today: 2 · ≈ 3 by evening
Forks: 132
Issues and pull requests: 0
Watchers: 136
Language: Jupyter Notebook
Created: September 28, 2026
Last push: September 28, 2026

Star trust

Growth looks organic: forks and discussion are in line with active projects, and stars arrive unevenly, the way people give them.

These are heuristics, not a verdict: we judge by the repository’s behavior, not by a list of stargazers.

Spotted in

September 29, 2026Top new repositories this week: #105

README badge

Paste it into your README — the badge shows the current magnitude and links to this page.

[![Seismograph](https://gitnova.dev/badge/Ghentlesteve/wine-quality-svc-tuning.svg?lang=en)](https://gitnova.dev/en/r/Ghentlesteve/wine-quality-svc-tuning)

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