Use Adaboost

Use the following training data. NOTE: (1) Consider we have the four weak learners (h1, h2, h3, and h4) (2) Properly label each data so that each can be recognized as p1, p2, etc. as shown in the trace example. Answer the followings: (1) Show the detail steps of AdaBoost algorithm for the week learners (i.e., classifiers in the order of h1, h2, h3, and h4). (2) Circle the data points that are misclassified by each weak learner. (3) After combining the four weak classifiers, form the final strong classifier (i.e., learner). (4) Is the resulting (strong) classifier correctly classified all the data points? (5) If all the data points are not correctly classified, how can we make a better (i.e., stronger) classifier? Use the following training data. NOTE: (1) Consider we have the four weak learners (h1, h2, h3, and h4) (2) Properly label each data so that each can be recognized as p1, p2, etc. as shown in the trace example. Answer the followings: (1) Show the detail steps of AdaBoost algorithm for the week learners (i.e., classifiers in the order of h1, h2, h3, and h4). (2) Circle the data points that are misclassified by each weak learner. (3) After combining the four weak classifiers, form the final strong classifier (i.e., learner). (4) Is the resulting (strong) classifier correctly classified all the data points? (5) If all the data points are not correctly classified, how can we make a better (i.e., stronger) classifier