Question: please answer fast. Question No: 05 This is a subjective question, hence you have to write your answer in the Text-Field given below. A computationally

 please answer fast. Question No: 05 This is a subjective question,
please answer fast.

Question No: 05 This is a subjective question, hence you have to write your answer in the Text-Field given below. A computationally hard problem of feature subset selection among input independent variables that might effectively influence a dependent variable in a linear regression fit of the format, Y=aX1+6X2+........+wXn is well known. There might be interactions among the attributes eg..(Xi and Xj) that might have together contributed more to the Y than individual attributes Xi, Xj. To add the complexity the attributes X's might be either numerical or categorical in nature!!!. [1.5+1+2.5=5 Marks] You are asked to design the subset selection problem using genetic algorithm. Explain your design approach in terms of following: Vague answered will be penalized a) PSA formulation & fitness function design (you may use your knowledge of linear regression to suggest answers) b) Chromose/String representation of a state constituting a parent c) Approach toward the crossover and mutation steps for this problem. Show this with one iteration of numerical example. Question No: 05 This is a subjective question, hence you have to write your answer in the Text-Field given below. A computationally hard problem of feature subset selection among input independent variables that might effectively influence a dependent variable in a linear regression fit of the format, Y=aX1+6X2+........+wXn is well known. There might be interactions among the attributes eg..(Xi and Xj) that might have together contributed more to the Y than individual attributes Xi, Xj. To add the complexity the attributes X's might be either numerical or categorical in nature!!!. [1.5+1+2.5=5 Marks] You are asked to design the subset selection problem using genetic algorithm. Explain your design approach in terms of following: Vague answered will be penalized a) PSA formulation & fitness function design (you may use your knowledge of linear regression to suggest answers) b) Chromose/String representation of a state constituting a parent c) Approach toward the crossover and mutation steps for this problem. Show this with one iteration of numerical example

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