Answer:
1.A,B,C,D
2. AB, CD
3. AC, BD
4. Line AD (don't take my word for this one)
Step-by-step explanation:
Answer:
B and C
Step-by-step explanation:
B - The purpose of LASSO is to shrink parameter estimates towards zero, lasso shrinkage causes the estimates of the non-zero coefficients to be biased towards zero.
C- Lasso shrinks more accurately than the ridge. In the case of multiple coefficients Lasso selects only some some features and reduces the coefficients of the others to zero. This is called feature selection and it's not a possible in the ridge.
The answer for number 6 is 17.
