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Difference between probability and likelihood

Probability and Likelihood


Probability  is the quantity mostly familiar with which deals predicting new data given a known model

'Posterior Probabilities' : because they are determined after the results of the model are known.

In short, what is chances given feature data 


Likelihood  is deals with fitting models given some known data are the posterior values for the fixed data points with distributions that can be moved. assume that already assumed, indicate how likely the event under consideration is to occur given each and every a priori probability.

In short, which model or features should more likely given chances or probability

Priori Probabilities :  exist before we gain any information from the model itself.

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