Problem II. Data Preprocessing (75 points) Tonoidor rho followino darasor Tay issume that the attribute Pr.AYS is the tavuet attribute, 2. (5 points) Describe a reasonable transformation of the atribute OLTLOOK so that the number of differeat values for that attribute is reduced to just 3 . 3. (10 points) Discretize the attribute TEMPERATURE by bioning it into 4 equi-width intervals using uosapervised discretization. Explain your answer. 4. (10 points) Discretize the attribute HUSIDITY by binning it into 4 equi-depth intervals using unsupervised discretizarion. Explain your ansher. 5. (5 points) Would you keep the atrribate DATE into sour dataset when mining for parterns that predict the values for the PLAYS attribute? Explain your answer. obtaiced. Show your work