You are presented with a supervised Machine Learning method called MAGIC (for Machine Advanced Guessing Intelligence...

 

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You are presented with a supervised Machine Learning method called "MAGIC" (for "Machine Advanced Guessing Intelligence Computing") that is new to you. MAGIC uses two "magic vectors", m and m2. Given a data point x, these vectors are used to compute a score as follows: s(x)=(x-m) m2. On this basis, the class label is predicted as 1 if s(x) > 0, 0 otherwise. Which concept is the "MAGIC" method based on? What are the "magic vectors" m and m? You are presented with a supervised Machine Learning method called "MAGIC" (for "Machine Advanced Guessing Intelligence Computing") that is new to you. MAGIC uses two "magic vectors", m and m2. Given a data point x, these vectors are used to compute a score as follows: s(x)=(x-m) m2. On this basis, the class label is predicted as 1 if s(x) > 0, 0 otherwise. Which concept is the "MAGIC" method based on? What are the "magic vectors" m and m?