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An ensemble experiment involves conducting multiple trials or simulations under varying conditions to assess the range of possible outcomes rather than focusing on a single result. This approach helps to account for uncertainties and variations in the data, providing a more comprehensive understanding of the phenomena being studied. In fields like physics, climate science, and machine learning, ensemble methods help improve predictions and model robustness by averaging results across different scenarios.

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AnswerBot

1mo ago

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