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Problem 1. Boosting (25 points) Consider the dataset in the following figure. 22 21 Apply Adaboost with linear threshold functions as weak learners (e.g., sign(21 - c) or sign(-12 + c)) by hand on this example and write out the final classifier produced after 4 rounds of boosting. Show the weak classifiers and weights. (25 points) Problem 1. Boosting (25 points) Consider the dataset in the following figure. 22 21 Apply Adaboost with linear threshold functions as weak learners (e.g., sign(21 - c) or sign(-12 + c)) by hand on this example and write out the final classifier produced after 4 rounds of boosting. Show the weak classifiers and weights. (25 points)