In a certain regression problem, the number of predictors is extremely large, and the number of observations is small. Do you think Lasso or Support Vector Machines (SVM) would perform better?

Answers: a. Lasso is better because it is less flexible and won't overfit the dataset with smalln. b. Unable to determine c. Lasso is better because it is highly interpretable. d. SVM is better because it can handle smallnvery well e. SVM is better because it is flexible and can fit the large number of predictors