noisydata

In machine learning, ensemble methods have gained prominence for their ability to enhance predictive performance by combining multiple models. Among these, AdaBoost (Adaptive Boosting) stands out for its simplicity and effectiveness. However, a notable challenge with AdaBoost is its sensitivity to noisy data. This article delves into the reasons behind this sensitivity, its implications, and strategies to … Read more