README.md

metadata

title: Wine Quality Predictor
emoji: 🍷
colorFrom: red
colorTo: purple
sdk: streamlit
sdk_version: 1.45.1
app_file: app.py
pinned: false

---

tags: - wine - classification - sklearn - streamlit

🍷 Wine Quality Classifier

This model predicts the quality label (low, medium, or high) of red wine based on its physicochemical properties.

🔢 Input Features

• fixed_acidity
• volatile_acidity
• citric_acid
• residual_sugar
• chlorides
• free_sulfur_dioxide
• total_sulfur_dioxide
• density
• pH
• sulphates
• alcohol

🧠 Model Info

• Type: RandomForestClassifier (scikit-learn)
• Trained on UCI Wine Quality Dataset
• Labels: low (≤5), medium (=6), high (≥7)

🧪 Example Input

{
  "fixed_acidity": 7.4,
  "volatile_acidity": 0.7,
  "citric_acid": 0.0,
  "residual_sugar": 1.9,
  "chlorides": 0.076,
  "free_sulfur_dioxide": 11.0,
  "total_sulfur_dioxide": 34.0,
  "density": 0.9978,
  "pH": 3.51,
  "sulphates": 0.56,
  "alcohol": 9.4
}