ensemble training

Ensemble training is a technique in machine learning where multiple models are combined to improve overall performance. Think of it like a committee making a decision: each member has their own opinion, and together they often come to a better decision than any single member could make alone. By training different models and then merging their predictions, ensemble methods help reduce errors and increase accuracy. This approach is commonly used in complex tasks like image recognition or natural language processing, where relying on a single model might not capture all the nuances of the data.