Which of the following is NOT true about Ensemble Learning Techniques?
A. Bagging decreases the variance of the classifier.
B. Boosting helps to decrease the bias of the classifier.
C. Bagging combines the predictions from different models and then finally gives the results.
D. Bagging and Boosting are the only available ensemble techniques.
Answer:D
Which of the following is NOT true about Ensemble Learning Techniques?
A. Bagging decreases the variance of the classifier. B. Boosting helps to decrease the bias of the classifier. C. Bagging combines the predictions from different models and then finally gives the results. D. Bagging and Boosting are the only available ensemble techniques.
Explanation: Apart from bagging and boosting, there are other various types of ensemble techniques such as Stacking, Extra trees classifier, Voting classifier, etc.