The website is in Maintenance mode. We are in the process of adding more features.
Any new bookmarks, comments, or user profiles made during this time will not be saved.

Machine Learning Resources

What is Laplace Smoothing? What is Additive Smoothing? Why do we need smoothing in IDF?

Bookmark this question

Laplace smoothing addresses the issue encountered in NLP tasks, such as text classification with Naive Bayes, when certain words only occur in the test dataset and were not seen in training. It adds a small correction to the numerator and denominator of the posterior probability of a word belonging to each class to avoid the likelihood for a given class resulting in 0.

Leave your Comments and Suggestions below:

Please Login or Sign Up to leave a comment

Partner Ad  

Find out all the ways
that you can

Explore Questions by Topics

Partner Ad

Learn Data Science with Travis - your AI-powered tutor |