Question
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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