AdaBoost.md (498B)
1 # AdaBoost (adaptive boosting) 2 3 ML D5 4 5 **Definition:** Adaboost is a boosting algorithm that boosts training instances that the prior model underfit (missed). 6 7 In adaboosting each predictor gets a model weight based on how accurate it is generally then each instance weight is also updated based on the accuracy of the models prediction. When models are wrong more often their weight is lowered but when instances are wrong their weight is increased to incentivize future models to fix the issue.