Intro To Boosting

Question 1

What is Boosting models?

Answer 1

The main idea behind boosting models is to sequentially use the results of weak learners to ultimately improve the performance of the final model, and used to reduce model bias

Question 2

What is Ensemble Models?

Answer 2

The idea behind ensemble models is to combine the results of multiple models to overcome the shortcomings of a single model

Question 3

What is Gradient Boosting?

Answer 3

It works by sequentially fitting models in the errors of the previous models and has the potential to produce excellent results on tabular data

Question 4

Gradient Boosting is used in what model typically?

Answer 4

Decision trees