When comparing linear regression and gradient boosting, which of the following statements are true (check all that apply)?

Select one or more:

a.Linear and logistic regression are non-parametric.

b.Linear regression tends to have higher variance error.

c.It is easier to incorporate complex interactions in gradient boosting.

d.It is easier to explain relationships between predictors and the outcome in linear regression.