In RapidMiner (RR), setting out-of-bounds values involves configuring parameters to handle data points that fall outside the expected range. Use the “Replace Missing Values” operator to manage outliers by setting a default value or using statistical methods like mean or median replacement. Alternatively, the “Filter Examples” operator can exclude out-of-bounds data. For more control, use custom scripts within the “Execute Script” operator to define specific conditions and actions for out-of-bounds values. Ensuring proper handling of these values enhances data quality and model performance.