Question: Problem 4 ( 1 5 points ) Consider the AdaBoost algorithm we discussed in the class 1 . AdaBoost is an example of ensemble classifiers

Problem 4(15 points) Consider the AdaBoost algorithm we discussed in the class 1. AdaBoost is an example of ensemble classifiers where the weights in next round are decided
based on the training error of the weak classifier learned on the current weighted training
set. We wish to run the AdaBoost on the dataset provided in Table 1

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