When we introduce new variables, there is a point beyond which the performance of statistical learning tends to degrade. That is, the gain from useful information contained in any new variable no longer outweighs the increase in data sparsity. In the following three situations, discuss what kind of training results we will have. Consider p 2 n (no. predictors _ no. observations) Consider p = n (no. predictors = no. observations) . Consider p