AdaBoost Classifier, Explained: A Visual Guide with Code Examples | by Samy Baladram | Nov, 2024
ENSEMBLE LEARNING Putting the weight where weak learners need it most Everyone makes mistakes — even the simplest decision trees in machine learning. Instead of ignoring them, AdaBoost (Adaptive Boosting) algorithm does something different: it learns (or adapts) from these mistakes to get better. Unlike Random Forest, which makes many trees at once, AdaBoost starts …