Implementation of classification models to predict the quality of wine based on it's chemical properties.
Image Src: M Yasser H
The following models were implemented and compared:
- Multinomial Naive Bayes
- Gaussian Naive Bayes
- KNN
- Support Vector Classifier with Varying Kernels
- Ensemble Random Forest
The following attributes are used are predictors:
- Alcohol
- Malic acid
- Ash
- Alcalinity of ash
- Magnesium
- Total phenols
- Flavanoids
- Nonflavanoid phenols
- Proanthocyanins
- Color intensity
- Hue
- OD280/OD315 of diluted wines
- Proline