Computer scienceData scienceMachine learningClassification

Naive Bayes classifier

Using the Laplace smoothing

Report a typo

Why Laplace smoothing is used in Naive Bayes classifier?

Select one or more options from the list

To avoid zero product in calculations.

To interpolate between the features.

To smooth hard binary labels 0 and 1 to e.g. 0.1 and 0.9.

To take into account all possible events although they might be missing from the data.

___

Create a free account to access the full topic