1:) Consider the following training dataset where CLASS is the target. i) Calculate the information gain for HARDNESS. If the infonnation gain scores for DENSITY and GRAIN are 0.938? and 0.9055. respectively, determine which input should be used as the first splitting variable? (4 marks) ii) Build a decision tree using the information obtained in (i). {2 marks} iii} Assume Furniture 9 has a missing value "'?" for DENSITY. Explain how the missing value ls managed during the model training process. {1 mark}