Stochastic Gradient Boosting

Stochastic Gradient Boosting is a machine learning technique that builds powerful predictive models by combining many small decision trees. It introduces randomness by training each tree on a random subset of data, which helps prevent overfitting and improves accuracy. The process iteratively focuses on correcting errors made by previous trees, gradually refining the model. Think of it like a team learning from past mistakes, with each member (tree) making improvements based on the errors identified. This approach results in a robust, flexible model that performs well on complex data patterns.