Question

Select True or False for the following statement Gradient Boosting algorithm tries to predict the residuals and keeps on minimizing the residuals with each iteration of weak learners

A)True
B)False

Answer 1

The statement is True. The Gradient Boosting algorithm is a machine learning technique that predicts residuals and minimizes those residuals with each iteration using weak learners.

Step-by-step explanation:

The statement is True.

The Gradient Boosting algorithm is a machine learning technique that tries to predict the residuals (errors) and minimize those residuals with each iteration by using a combination of weak learners (simple models).

For example, in gradient boosting, if the initial prediction of a model is far from the true value, the algorithm will focus on minimizing the residuals of that data point in subsequent iterations, leading to a more accurate prediction.