Can somebody explain to me question 16-17 in the link here ?
Q 16 ) Suppose, you are working on a binary classification problem with 3 input features. And you chose to apply a bagging algorithm(X) on this data. You chose max_features = 2 and the n_estimators =3. Now, Think that each estimators have 70% accuracy.
Note: Algorithm X is aggregating the results of individual estimators based on maximum voting