What is the result of applying a Log transformation to a feature with a right-skewed distribution?
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Data Science — Medium
What is the result of applying a Log transformation to a feature with a right-skewed distribution?
Explanation
Log transformations are commonly used to handle right-skewed data. By applying the logarithm, the values in the long tail are compressed, pulling the distribution toward a more symmetric, Gaussian-like shape. This is beneficial for models that assume normally distributed input features.
