Question 35
UnclassifiedLog transformation of a feature is most useful when:
Correct answer: B
Explanation
A log transformation is used to reduce right skew by compressing large values, which pulls in a “long right tail.” It is most useful when a feature is “right-skewed,” because the transformation can make the distribution more symmetric and stabilize variance.
Why each option is right or wrong
A. The feature contains negative values
B. The feature is right-skewed (long right tail)
A logarithmic transform is applied to compress large positive values more than small ones, which directly addresses a distribution with a long upper tail. In exam terms, the relevant condition is positive, right-skewed data; the transform is not appropriate for left-skewed variables because it would not correct the asymmetry in the same direction.
C. All values are between 0 and 1
D. The feature is binary