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Unformatted text preview: 2. one without general majority voting; i.e use ID3 algorithm (without Information Gain). Use INCOME as root attribute, and nodes attributes of your choice; EVALUATE Predictive accuracy for each of your trees (sets of rules) – use the TEST Dataset below. TEST DATA SET Obj Age Income Student Credit_Rating Class 1 <=30 High Yes Fair Yes 2 31…40 Low No Fair Yes 3 31…40 High Yes Excellent No 4 >40 Low Yes Fair Yes 5 >40 Low Yes Excellent No 6 <=30 Low No Fair No Problem 2 Create test data sets for your sets rules corresponding to trees 1 and 2 that guarantees 100% predictive accuracy. Problem 3 Compute the predictive accuracy of the set of discriminant rules in the lecture notes L8 with respect of the TEST Dataset from Problem 1....
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- Fall '08
- Decision tree learning, general majority voting