The dataset containing various features of white wine is used in this wine quality classification use case. The following are the features of the dataset:
Fixed acidity
Volatile acidity
Citric acid
Residual sugar
Chlorides
Free sulfur dioxide
Total sulfur dioxide
Density
pH
Sulphates
Alcohol
Based on these features, the quality (score between 0 and 10) is determined. If the quality is less than 7, then it is classified as bad and a value of 0 is assigned to the label. If the quality is 7 or above, then it is classified as good and a value of 1 is assigned to the label. In other words, the classification value is the label of this dataset. Using this dataset, a model is going to be trained and then using the trained model, testing is done and predictions are made. This is a classification problem. The Logistic Regression algorithm is used to train the model. In this machine learning application use case, it deals with modeling the relationship between a dependent variable...