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

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
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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

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