










n 
Linear
regression doesn’t consider interactions



between
variables; likely to underfit data



n 
Consider
2^{nd} degree polynomials





n 
Variables =
pairwise products of original features



n 
total of 325
variables




n 
(cf.
clauses/variables)



n 
More
predictability, less interpretability

