In Bayes' theorem, what does the prior probability represent?
- The likelihood of the evidence
- The probability of an event before evidence is observed
- The probability of the evidence given the event
- The updated probability after evidence is observed
The prior probability in Bayes' Theorem is the initial or original probability of an event before new evidence is taken into account. It represents our initial belief about the event.
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