Question

Which of the following is/are true: I) In the AdaBoost model, after the first run, the weightage of data points that were predicted wrong is increased. II) AdaBoost consists of under-fitted models.

a. I only
b. II only
c. Both I and II
d. Neither I nor II

Answer 1

In the AdaBoost algorithm, the weightage of wrongly predicted data points is indeed increased to ensure the successive models focus on the more difficult cases. Additionally, AdaBoost is known for combining several weak or underfitted models, which together form a strong predictive model. Therefore the correct option is c) Both I and II.

Step-by-step explanation:

The correct answer to the question 'Which of the following is/are true: I) In the AdaBoost model, after the first run, the weightage of data points that were predicted wrong is increased. II) AdaBoost consists of under-fitted models' is c. Both I and II. To elaborate:

• I is true. AdaBoost increases the weight of incorrectly classified points after each iteration to force the next classifier to focus more on those points.
• II is also true, because AdaBoost builds the model by combining multiple weak or under-fitted learners.