ensemble averaging

Ensemble averaging is a technique used to improve the accuracy of predictions by combining multiple models or measurements. Instead of relying on a single estimate, it takes many different predictions and calculates their average. This process reduces the impact of random errors or variations in individual models, leading to a more reliable and stable result. Think of it as consulting many opinions before making a decision—by averaging them, you get a more balanced and robust outcome. It's widely used in fields like climate modeling, finance, and machine learning to enhance decision-making.