ensemble learning

Ensemble learning is a machine learning technique that combines multiple models to improve overall performance. Instead of relying on a single model, which might make mistakes, ensemble methods aggregate the predictions from several models to create a more accurate and robust solution. This approach often leads to better results because different models can capture different patterns in the data. Think of it like getting a group of experts to give their opinions; together, they are likely to arrive at a better conclusion than any one expert alone.