Log normal distribution is used for transformation
of variable when it is not normally distributed. Suppose we have a variable for
which the distribution is left skewed then transformation of that variable is
done to log so that it becomes normally distributed.
The transformation is required as if the data is
left or right skewed then it will impact the model accuracy and results will be
fall in accuracy while when transformation is done accuracy improves.
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| Variable transformation |
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