You are trying to build a model to predict whether or not a particular visitor is likely to make a purchase on your website.You have information on over a million people who have visited the site in the past twelve months.You have over 4000 variables related to each visitor and you suspect there are complex interactions between those variables and whether someone is likely to make a purchase.Which of the following isnota viable option in performing this analysis?

Select one:

a.Decision Tree

b.Boosted Decision Tree

c.Linear Regression

d.Logistic Regression