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 following classification tree: For these 178 wines, the tree only misclassifies two wines. These wines have the following characteristics: Wine 1: Proline = 735, Ash = 2.88, Flavanoids = 2.69, Magnesium = 118 Wine 2: Proline = 680, Ash = 2.29, Flavanoids = 2.63, Magnesium = 103 Based on this information, construct the confusion matrix based on the 178 wines. In order to better learn Neal’s preferences, what types of wines could Sommelier4U recommend to him?

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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 following classification tree:

For these 178 wines, the tree only misclassifies two wines. These wines have the following characteristics:

Wine 1: Proline = 735, Ash = 2.88, Flavanoids = 2.69, Magnesium = 118

Wine 2: Proline = 680, Ash = 2.29, Flavanoids = 2.63, Magnesium = 103

Based on this information, construct the confusion matrix based on the 178 wines. In order to better learn Neal’s preferences, what types of wines could Sommelier4U recommend to him?

 
 
  Predicted Rating
Actual Rating Like Dislike
Like    
Dislike    

I need help filling in the chart.

Ash
0
2.87
108 3
111
Proline
755
67
Flavanoids
0
2.17
8 59
Magnesium
1
135.5
57 2
0
Transcribed Image Text:Ash 0 2.87 108 3 111 Proline 755 67 Flavanoids 0 2.17 8 59 Magnesium 1 135.5 57 2 0
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