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 Science Wk 2 assignment
Please see attachment for instructions provide a one-page response to the following topic below utilizing supporting documentation obtained from your textbooks and the Internet. Be sure to include an APA Reference Page Topic: Assess the various Access Control methods.