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Naive Bayes
Statistical-based approach that bases predictions on previously-seen examples
Naive Bayes
Prior
The probability of a certain target outcome to happen
Marginal
Will always be the same for all classes, so no need to compute

Likelihood

Joint Probability
Consider all events under a given target outcome, then compute the _____ of the observation 𝐹 under that outcome
Number of features
The number of possible probability values that need to be computed grows exponentially with the _____
Combination of features
To get a good enough estimate of the probability, there should be enough samples for every possible _____