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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.
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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