+**Boost** in machine learning is an [ensemble](/wiki/Ensemble) meta-algorithm that iteratively transforms weak learners into a single, strong predictive model. Each sequential model focuses on correcting the [errors](/wiki/Error) made by its predecessors, gradually refining the overall prediction. This process systematically enhances the model's predictive [accuracy](/wiki/Accuracy) and robustness.
+## See also
+- [Machine Learning](/wiki/Machine_Learning)
+- [Gradient Boosting](/wiki/Gradient_Boosting)
+- [Adaboost](/wiki/Adaboost)
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