MACHINE LEARNING

Suppose you are given three data sets (i), (ii), (iii), and different models for each datasets depicted in plot {a,b,c for dataset (i)}, {d,e,f for dataset (ii)}, {g,h,i for dataset (iii)} V V (DY Y x 20) (6) V V V A f)Y (02 ce A City 2 X 2 a. If you are asked to select best model for each dataset case, which model would you prefer and why? [Hint: first identify high bias, high variance problem for models). b. Consider the Ridge regression is used for dataset (ii) How parameter 2 will affect the model train and test error rate? n 3 | yi - - Bjtij j=1 i=1 j=1 c. Also state the relation of 2 with the models shown in plots {d,e,f}. Suppose you are given three data sets (i), (ii), (iii), and different models for each datasets depicted in plot {a,b,c for dataset (i)}, {d,e,f for dataset (ii)}, {g,h,i for dataset (iii)} V V (DY Y x 20) (6) V V V A f)Y (02 ce A City 2 X 2 a. If you are asked to select best model for each dataset case, which model would you prefer and why? [Hint: first identify high bias, high variance problem for models). b. Consider the Ridge regression is used for dataset (ii) How parameter 2 will affect the model train and test error rate? n 3 | yi - - Bjtij j=1 i=1 j=1 c. Also state the relation of 2 with the models shown in plots {d,e,f}