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a.1) Why do we minimize the sum of the square of the residuals to perform regression? Explain with example. a.2) How does LIST-THEN-ELIMINATE algorithm works?

a.1) Why do we minimize the sum of the square of the residuals to perform regression? Explain with example.

a.2) How does LIST-THEN-ELIMINATE algorithm works? When does it perform well?

a.3) Which algorithm will you prefer between FIND-S and CANDIDATE-ELIMINATION to find out the proper hypothesis? Why?

a.4) Consider learning the concept of "Japanese Economy Car". Perform the CANDIDATE-ELIMINATION algorithm on the following training examples (Table 1) and generate the sequence of S and G boundaries.

Table 1
Origin Manufacturer Color Decade Type Example Type
Japan Honda Blue 1980 Economy Positive
Japan Toyota Green 1970 Sports Negative
Japan Toyota Blue 1990 Economy Positive
USA Chrysler Red 1980 Economy Negative
Japan Honda White 1980 Economy Positive

(4 + 4 + 12 + 8 Marks)

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