AdaBoost

Adaboost is a way of building better computer models (like a machine learning algorithm). It works by combining lots of weaker models into a stronger one. A weak model is something that is not very accurate but can still make some predictions. With Adaboost, a weak model is adjusted in such a way that it becomes more accurate, and this process is repeated many times. Once all the weak models have been combined, the result is a stronger model that can make more accurate predictions.