Statistical Prediction
Blending refers to a technique used in machine learning where multiple predictive models are combined to improve overall performance. This method leverages the strengths of different models to create a more accurate final prediction, often leading to better generalization on unseen data. By intelligently merging predictions, blending aims to reduce the risk of overfitting and enhance the robustness of the model output.
congrats on reading the definition of blending. now let's actually learn it.