Question

Select True or False for the following statement: Each tree contributes equally to the final prediction by AdaBoost.

a. True
b. False

Answer 1

The statement that each tree contributes equally to the final prediction by AdaBoost is false because trees are weighted based on their accuracy, with more precise trees having a greater influence.

Step-by-step explanation:

The statement Each tree contributes equally to the final prediction by AdaBoost is false. AdaBoost, which stands for Adaptive Boosting, is an ensemble learning method that combines multiple weak classifiers to create a strong classifier. In AdaBoost, each tree is assigned a weight based on its accuracy, and trees that are more accurate have a greater influence on the final prediction than those that are less accurate. Therefore, not all trees contribute equally to the final decision.