Boosting

Boosting is a machine learning ensemble technique that primarily aims to convert a set of weak learners into a strong one. It sequentially applies the weak learners to repeatedly modified versions of the data, increasing the accuracy of the ensemble by focusing more on the examples that previous learners misclassified.