plz solve it very fast and according to machine learning concept plz plz sir solveit very fast its so urgent

(a) Compare and contrast the three primary ensemble learning model combination 10 schemes: Voting, Error-Correcting Output Codes, and Bagging. Given an ensemble model with three base models, A, B, and C. If A's accuracy is 80%,B 's accuracy is 85%, and C's accuracy is 75%, calculate the accuracy of the ensemble using majority voting. OR (b) Describe the challenges and techniques related to generalization in reinforcement 10 learning. How can a model generalize its knowledge to new situations