can you solve problem iii

may assume that the attribute PLAYS is the taget attribute. 2. (5 points) Describe a reasonable transformation of the attribute OUTLOOK so that the number of differcat values for that attribute is reduocd to just 3. 5. (5 points) Would you keep the uttribute DATE into your dataset when mining for patteros that predict tbe vulues for the PLAYS attribute? Explain your arsuer. [wean - (k+1)s4, mean k+sul for 211 integer values k,1.2,k=,4,3,2,1,0,1,2, the TTIMPERATUIRE intervals were obtained. Show your work. ablem III. Veature Selection (60 jpints) 2. Looking at the code that implements CfsSubsctEval, as 'elll as its description in the cextbook abd in class, describe in detail the process that it follows: 1. (5 points) What's the initial (sub)set of attributes under consideration? Is forward on back anird search used? the subsers and the goodness value of each of these subsets. Explain your ansper. 3. (25 points) Use the CfsSubsetEval formulas to culeulate the geodness of the 'best' (sub)set of attributes considered. Show your work