👉 Boosted, also known as a boosted decision tree or boosting, is a type of machine learning algorithm that uses multiple decision trees to improve the accuracy and performance of an existing model. It works by selecting a subset of features from each tree and then combining those subsets using a weighted average of their values to create a new tree. This process iterates until the final tree has reached a desired level of confidence in its predictions, which is often set at 100%. The choice of boosting algorithm
