Xgboost, Adaboost, Machine Learning, Boosting, Data Science.
learners and assigning higher weights to misclassified samples in each iteration. The subsequent weak learners focus on the misclassified instances, progressively improving the overall model’s accuracy. Strengths of AdaBoost Simplicity and ease of implementation. Effective in boosting the