|
|
|
|
|
|
|
|
|
|
|
n |
Linear
regression doesn’t consider interactions
|
|
|
between
variables; likely to underfit data
|
|
|
n |
Consider
2nd degree polynomials
|
|
|
|
|
n |
Variables =
pairwise products of original features
|
|
|
n |
total of 325
variables
|
|
|
|
n |
(cf.
clauses/variables)
|
|
|
n |
More
predictability, less interpretability
|
|