decision tree in presentation form by presenting

dss

1. Age Group Income Student Credit Rating Buy Computer <=30 high no fair no <=30 high no excellent no 31-40 high no fair yes >40 medium no fair yes >40 low yes fair yes >40 low yes excellent no 31-40 low yes excellent yes <=30 medium no fair no <=30 low yes fair yes >40 medium yes fair yes <=30 medium yes excellent yes 31-40 medium no excellent yes 31-40 high yes fair yes >40 medium no excellent no This data set appears to be about individuals with attributes such as Age, Income, Student status, Credit rating, and their decision to Buy a Computer. Here's a summary of the data:

2. Let's break down the process: Calculate the entropy of the entire dataset. Calculate the entropy for each attribute. Calculate the information gain for each attribute. Choose the attribute with the highest information gain to split the data.

3. 0.941 ?

4. Let's proceed with splitting the dataset based on the attribute Age , as it has the highest information gain.