Makridakis competition

The Makridakis Competitions are a series of forecasting challenges designed to evaluate and improve methods for predicting future data. They gather diverse approaches—such as statistical models and machine learning techniques—to see which most accurately forecast real-world time series like sales, weather, or economic trends. Participants submit their forecasts, which are then compared against actual outcomes. The goal is to identify the most effective methods and encourage ongoing development in prediction accuracy, ultimately aiding decision-making across various fields. These competitions foster innovation by challenging experts to improve the science of forecasting.