5. Ensemble Methods (Adaboost) (20 marks) Assume there are three week classifiers hl,h2 and h3.And there are 8 training samples with the labels of Y [-1, 1, 1, 1,-1,-1, 1,-1], where-1 and I represent two classes. The response of the three week classifiers are shown below h1 [-1,-1,1, 1, 1, 1, 1,-1] h2 = [-1,1,1,-1, l, l,-1,-1] h3=[1,1,1,1,1,1,1,1] (a) Please use Adaboost method to get a strong classifier by selecting two of these three week classifiers. (b) Give out the response of your strong classifier. (c) What is the error rate of your strons classifier? Note: If multiple weak classifiers give the same classification error, then the weak classifier with the lowest classifier index is selected. Hint: In page 22 of Ensemble slides, the usage ofz, is to ensure .1 w| = 1. 5. Ensemble Methods (Adaboost) (20 marks) Assume there are three week classifiers hl,h2 and h3.And there are 8 training samples with the labels of Y [-1, 1, 1, 1,-1,-1, 1,-1], where-1 and I represent two classes. The response of the three week classifiers are shown below h1 [-1,-1,1, 1, 1, 1, 1,-1] h2 = [-1,1,1,-1, l, l,-1,-1] h3=[1,1,1,1,1,1,1,1] (a) Please use Adaboost method to get a strong classifier by selecting two of these three week classifiers. (b) Give out the response of your strong classifier. (c) What is the error rate of your strons classifier? Note: If multiple weak classifiers give the same classification error, then the weak classifier with the lowest classifier index is selected. Hint: In page 22 of Ensemble slides, the usage ofz, is to ensure .1 w| = 1