AdaBoost technique follows a decision tree model with a depth equal to one. AdaBoost is nothing but the forest of stumps rather than trees. AdaBoost works by putting more weight on difficult to classify instances and less on those already handled well. AdaBoost algorithm is developed to solve both classification and regression problem. Learn to build the algorithm from scratch here.
Originally from KDnuggets https://ift.tt/373vhvG
source https://365datascience.weebly.com/the-best-data-science-blog-2020/implementing-the-adaboost-algorithm-from-scratch
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