Sommelier4U is a company that ships its customers bottles of different types of wine and then has them rate the wines as "Like" or "Dislike." For each customer, Sommelier4U trains a classification tree based on the characteristics and customer ratings of wines that the customer has tasted. Then, Sommelier4U uses the classification tree to identify new wines that the customer may Like. Sommelier4U recommends the wines that have a greater than 50% probability of being liked. Neal Jones, a loyal customer, has provided feedback on hundreds of different wines that he has tasted. Based on this feedback, Sommelier4U trained and validated the classification tree shown above. For these 178 wines, the tree only misclassifies two wines. These wines have the following characteristics: Wine 1: Proline = 758, Ash = 2.88, Flavanoids = 2.69, Magnesium = 145 Wine 2: Proline = 680, Ash = 2.98, Flavanoids = 2.63, Magnesium = 142 a. Based on this information, construct the confusion matrix based on the 178 wines. To better learn Neal's preferences, what types of wines could Sommelier4U recommend to him? b. Consider the wine with the following characteristics: Proline = 778, Ash = 1.80, Flavanoids = 2.30, Magnesium = 98 Does Sommelier4U believe that Neal will Like this wine?