Neural network model to predict the quality of red and white wine using Keras and scikit-learn
Since each dataset comes with 12 features, not all are correlated with the type of wine, therefore it is important to select features that we are interested in by constructing a correlation matrix.
The following features can be excluded as they have small correlation with wine type:
- citric acid
- pH
- alcohol
- quality