ensembles in statistics

Ensembles in statistics refer to methods that combine multiple models or predictions to improve accuracy and reliability. Instead of relying on a single model, an ensemble aggregates the outputs—often by averaging or voting—to reduce errors and biases. Think of it as consulting several experts to make a decision, where the collective opinion tends to be more accurate than any individual. This approach is widely used in machine learning and data analysis to produce more robust and generalizable results, especially when dealing with complex or uncertain data.