Consider a data set with four binary attributes X1, X2, X3 and X4. The attribute X4 takes exactly the same value as X3 for each record, i.e., X4 is equal to X3. In each of the following three scenarios, find whether the decision boundary learnt by the two models would be similar, otherwise find which of the two models would perform better. Provide a brief justification for each. (i) We build two KNN models: M1 that is learnt using all the four attributes. b. M2 that is learnt using the three attributes X1, X2, and X3. a. (ii) We build two ANN models: M1 that is learnt using all the four attributes. b. M2 that is learnt using the three attributes X1, X2, and X3. a