Comparison of Boosting Algorithms: AdaBoost, CatBoost, LightGBM, XGBoost
Boosting algorithms are a class of machine learning algorithms that build a strong classifier by iteratively training a series of weak classifiers (usually decision trees). In each round of iteration, the new classifier is designed to correct the errors of the previous classifier, thus gradually improving the overall classification performance. Despite the rise and popularity … Read more