Background: I am building a tool which alerts online advertisers based on the performance of their advertising campaigns. I know very little about machine learning.
Right now, my tool stores (Clicks, Profit) for my users:
- Click = how many people coming to your site
- Profit is the total value of item purchased
I am looking into building a prediction engine which will be able to answer question such as: Based the fact that it's Wednesday at 5pm, is the ratio of Profit/Click above or below expectation?
What models should I use that can take parameters such as
- Hour of the day (Discrete)
- Weekday/Weekend (boolean)
- is_holiday (boolean)
to output an expected ratio of Profit/Click?