An expert system has the following rules: RI: IF A is true, THEN Y is true {CF=0.75} R2: IF B is true, THEN Y is true {CF=0.6} R3: IF C is true. THEN Y is true {CF=0.8} What is the CF of Y in the following cases: a) A is true (CF=0.9) b) A is true (CF=0.7) and B is true (CF=0.5) c) B is true (CF=0.6) and C is true (CF=0.8) Question (4) Apply the ID3 algorithm to the following dataset then: a) Draw the decision tree. b) Extract a set of rules from the decision tree for classifying the unseen instances