If the responsive cutoff is updated, what happens to the statistics for Model Updates?

When the responsive cutoff is updated, the statistics for Model Updates reflect this change; thus, they update accordingly. This means that the model's performance metrics, such as accuracy, precision, and recall, will adjust based on the new cutoff parameters. The intent behind updating the responsive cutoff is often to improve or refine the model's performance, which necessitates recalibrating the statistics to align with the latest data criteria.

By automatically updating the statistics, the system ensures that users are equipped with the most current and relevant data, allowing for better decision-making. This dynamic adjustment is crucial in scenarios where conditions or data distributions may change over time, thus keeping the project management practices in sync with real-time insights and ensuring the model remains effective.