Effect of Skewness and data range in machine learning

Question

I have a feature for machine learning as follow that skew to the left, and only have number in certain number range (here 0-2000). Will skewness and range of number affect the learning? If yes what should I do?

The best way to fix skewness is to perform a log transformation. Please read How to deal with Skewed Dataset in Machine Learning? for better understanding. — Ruthwik, Mar 27 '18 at 16:53
Your problem is addressable by Poisson regression. You may also want to take a look at Censored Poisson regression because your data is right-censored at 2000. — SmallChess, Apr 24 '17 at 06:29

horaceT · Answer 1 · 2017-02-23T05:18:42.047

2

Typically, folks would transform the variable. When it is strictly greater than zero, a log transform is usually sufficient. If zero is included, as in your case, one popular alternative is the box-cox transformation.

edited Feb 23 '17 at 05:18

answered Feb 23 '17 at 05:13

horaceT

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Effect of Skewness and data range in machine learning

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