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Consider the dataset given below. a b c d e f x1 no left large 0 McDonalds TRUE x2 yes left medium 0 BurgerKing TRUE

Consider the dataset given below.

a

b

c

d

e

f

x1

no

left

large

0

McDonalds

TRUE

x2

yes

left

medium

0

BurgerKing

TRUE

x3

yes

right

medium

1

Wendys

FALSE

x4

yes

right

small

1

Wendys

FALSE

x5

no

right

extraLarge

2

PizzaHut

FALSE

Using the Rule Induction from Coverings algorithm discussed in class, find each of the partitions specified below. (4 pts.)

{a}* =

{c}* =

{d}* =

{d, e}* =

Suppose that we are looking for a covering for decision attribute f which has partition {f}* = {{x1, x2}, {x3, x4, x5}}. (4 pts.)

Would {a}* work? Explain your answer.

Would {c}* work? Explain your answer.

Would {d}* work? Explain your answer.

Would {d, e}* work? Explain your answer.

Find a covering for f. If you found one in part b that worked, just use one of those. Using your covering, give a set of rules for decision attribute f. (1 pt.)

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