The dataset is related to white Portuguese "Vinho Verde" wine. For more info: https://archive.ics.uci.edu/ml/datasets/Wine+Quality Import the following file:

http://archive.ics.uci.edu/ml/machine-learning-databases/wine- quality/winequality-white.csv

This assignment will require writing R codes

5. Reduce the levels of rating for quality to two levels as Pass and Fail. Assign the levels of 3, 4 and 5 to level Fail; and 6, 7, 8 and 9 to level Pass. (10 points)

6. Normalize the numeric attributes. Hint: (x - min(x)) / (max(x) - min(x)) (12 points)

7. Divide the dataset to training and test sets. (12 points)

8. Use the Logistic Regression algorithm to predict the quality of wine using its attributes. (12 points)

9. Display the confusion matrix to evaluate the model performance. (12 points)

10. Evaluate the model performance by computing Accuracy, Sensitivity and Specificity. (15 points)