Editing Bayesian inference (section)

===Interpretation of factor===

<math display="inline"> \frac{P(E \mid M)}{P(E)} > 1 \Rightarrow P(E \mid M) > P(E)</math>. That is, if the model were true, the evidence would be more likely than is predicted by the current state of belief. The reverse applies for a decrease in belief. If the belief does not change, <math display="inline"> \frac{P(E \mid M)}{P(E)} = 1 \Rightarrow P(E \mid M) = P(E)</math>. That is, the evidence is independent of the model. If the model were true, the evidence would be exactly as likely as predicted by the current state of belief.