Consider a binary classification problem with an ensemble learning algorithm that uses simple majority voting among K learned hypotheses. Suppose that each hypothesis has error E and that the errors made by each hypothesis are independent of the others. Calculate a formula for the error of the ensemble algorithm in terms of K and E, and evaluate it for the cases where K =5, 11, and 21 and E=0.1, 0.2, and 0.4. If the independence assumption is removed, is it possible for the ensemble error to be worse than E?
Computer
Documentation Tabula Insurance Agency ENTER AND UPDATE COMPANY DATA Author: Ashanti Joyner Note: Do not edit this sheet. If your name does not appear in cell B6, please download a new copy of the file from the SAM website. Personnel Tabula Insurance Agency Personnel: April 4-10, 2024 Employee Name Salary