The sensitivity coefficient is a quantitative measure that indicates how the output of a model responds to changes in its input parameters. It plays a crucial role in understanding the reliability and robustness of models, as well as identifying which parameters have the most influence on the outcomes. This concept is essential for evaluating the performance of models and ensuring their accuracy and validity through sensitivity analysis.
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