Dec 31, 2019 in Data Science

Which of the following step / assumption in regression modeling impacts the trade-off between under-fitting and over-fitting the most.

A. The polynomial degree

B. Whether we learn the weights by matrix inversion or gradient descent

C. The use of a constant-term

1 Answer

0 votes
Dec 31, 2019

Solution: A

Choosing the right degree of polynomial plays a critical role in fit of regression. If we choose higher degree of polynomial, chances of overfit increase significantly.


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