Exercise

# Refining support with confidence

After reporting your findings from the previous exercise, the library asks you about the direction of the relationship. Should they use *Harry Potter* to promote *Twilight* or *Twilight* to promote *Harry Potter*?

After thinking about this, you decide to compute the confidence metric, which has a direction, unlike support. You'll compute it for both *{Potter}* \(\rightarrow\) *{Twilight}* and *{Twilight}* \(\rightarrow\) *{Potter}*. The DataFrame `books`

has been imported for you, which has one column for each book: `Potter`

and `Twilight`

.

Instructions

**100 XP**

- Compute the support of
*{Potter, Twilight}*. - Compute the support of
*{Potter}*. - Compute the support of
*{Twilight}*. - Compute the confidence of
*{Potter}*\(\rightarrow\)*{Twilight}*and*{Twilight}*\(\rightarrow\)*{Potter}*.