What is the result of applying a log transformation to a right-skewed numerical feature?
Data ScienceMedium
Data Science — Medium
What is the result of applying a log transformation to a right-skewed numerical feature?
Explanation
Log transformation is a power transformation that compresses the long tail of a right-skewed distribution, effectively pulling extreme values closer to the center. This often results in a distribution that is closer to Gaussian (normal), which is a requirement for many linear machine learning algorithms.
