Bayes Theorem
- Bayes theorem states that
\[ P(h\,|\,D) = \frac{P(D\,|\,h) P(h)}{P(D)} \]
where
- $P(h)$ = prior probability of hypothesis $h$
- $P(D)$ = prior probability of training data $D$
- $P(h\,|\,D)$ = probability of $h$ given $D$, also known as the posterior probability of $h$.
- $P(D\,|\,h)$ = probability of $D$ given $h$
José M. Vidal
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