|
|
---
|
|
|
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](https://www.kaggle.com/datasets/uciml/red-wine-quality-cortez-et-al-2009)
|
|
|
- Labels: `low` (≤5), `medium` (=6), `high` (≥7)
|
|
|
|
|
|
## 🧪 Example Input
|
|
|
|
|
|
```json
|
|
|
{
|
|
|
"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
|
|
|
}
|
|
|
|
