Models with polynomial features with a high degree parameter $($i$.$e$.,$ large $d)$:

a$.$ always have the best test error $($but can be slow to train$)$

b$.$ are more likely to overfit than lower$-$degree polynomial models

c$.$ underfit more than linear regression models

d$.$ get lower training error than lower$-$degree polynomial models