Consider a classification by a decision tree problem. Consider a binary input variable being_student (yes or no). The output variable buy has two distinct classes ho. At a particular node of the tree there are 100 data objects. Class distribution at this node is for the output variable (buy) is yes:40, no:60. When partition according to being student, left child yes has 40 observations, whereas right child no has 60 observations f the variable being_student provides perfect information, what is the distribution of buy variable in the left and right child nodes? O a. left child: yes: 16, no: 24, right child: yes: 24, no: 36 O b. left child: yes: 40, no: 0, right child: yes: 0, no: 60 O c. left child: yes: 24, no: 16, right child: yes: 16, no: 44 O d. left child: yes: 20, no: 20, right child: yes: 20, no: 40

Computer Networking: A Top-Down Approach (7th Edition)
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Author:James Kurose, Keith Ross
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Chapter1: Computer Networks And The Internet
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There are two questions about this problem in the test shown in random order.
Consider a classification by a decision tree problem. Consider a binary input variable being_student (yes or no). The output variable buy has two distinct classes as, yes and
no. At a particular node of the tree there are 100 data objects. Class distribution at this node is for the output variable (buy) is yes:40, no:60.
When partition according to being_student, left child yes has 40 observations, whereas right child no has 60 observations
If the variable being student provides perfect information, what is the distribution of buy variable in the left and right child nodes?
O a. left child: yes: 16, no: 24, right child: yes: 24, no: 36
O b. left child: yes: 40, no: 0, right child: yes: 0, no: 60
O c. left child: yes: 24, no: 16, right child: yes: 16, no: 44
O d. left child: yes: 20, no: 20, right child: yes: 20, no: 40
Transcribed Image Text:There are two questions about this problem in the test shown in random order. Consider a classification by a decision tree problem. Consider a binary input variable being_student (yes or no). The output variable buy has two distinct classes as, yes and no. At a particular node of the tree there are 100 data objects. Class distribution at this node is for the output variable (buy) is yes:40, no:60. When partition according to being_student, left child yes has 40 observations, whereas right child no has 60 observations If the variable being student provides perfect information, what is the distribution of buy variable in the left and right child nodes? O a. left child: yes: 16, no: 24, right child: yes: 24, no: 36 O b. left child: yes: 40, no: 0, right child: yes: 0, no: 60 O c. left child: yes: 24, no: 16, right child: yes: 16, no: 44 O d. left child: yes: 20, no: 20, right child: yes: 20, no: 40
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