is built based on strong assumptions about the linear boundary, whereas $q,$

Least Square Method $/$ Nearest Neighbor Approach is built based on weak assumptions on underlying data.

Gradient Descent Approach $/$ Newton$-$Raphson Method

Nearest Neighbor Approach $/$ Least Square Method

Newton$-$Raphson Method $/$ Gradient Descent Approach

none of these are appropriate answers