2.2 Prior probability model

A valid probability model must:

1. account for all events;

2. assign probabilities for each event;

3. sum to one.

In our fake_news example, the prior probability model is defined as:

\(P(\text{is fake}) = 0.4\) and \(P(\text{is real}) = 0.6\)