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.

AIML.com

Machine Learning Resources

How to perform Standardization in case of outliers?

Bookmark this question

If outliers are detected and it is deemed appropriate to exclude them, they can be removed from the data before performing standardization. If it is preferable to retain the observations, an alternate form of standardization can be conducted in which the median of the series is subtracted from each observation (as a proxy for centering) and then dividing by the interquartile range (difference between 75th and 25th percentiles) in place of the standard deviation to complete the robust scaling process.

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 | LearnEngine.com