I am training a classification model on a dataset of
users on a website and each has 100 different measurements of their behaviour on the platform.
Most of these users are
dormant but about 10% will
reawken. We are interested in purchasing activity once awake.
We have separated the customers into two classes:
- Those who reawaken and purchase products 5+ times (positive class)
- Those who remain dormant and those who rewaken but purchase less than (or including) 4 times.
We also have a separate model that sorts customers into groups
- Will reawaken.
- Remain dormant
My question is:
If we output the probability of being in the positive class for both of these classifiers, what will the product of these two probabilities mean semantically?
Will it be P(5+ and reawaken), or will it be something else?