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SOLVED: Assume thatin the AdaBoost algorithm, we are initially given a dataset of 6 points with classification (x,Y = class): (1, ),(2, ), (3,-),(4,-) (5, ),(6, ) The classifier is a decision tree stump choosing a constant € such that all points with x > € are labeledone class and all points with X < C are labeled the other class. Assume that the first classifier (i.e at the end ofthe first iteration) misclassifies only the points atx = 1 and x = 2. What are possible values of € for the first
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