🍷 Wine Quality Classifier

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

πŸ”’ 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 (β‰₯7)

πŸ§ͺ 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
}
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