What are the Benefits of Using Cross Validation in Catalysis?
The benefits of using cross validation in catalysis include: - Improved model reliability: By validating the model on different subsets of data, it becomes more robust and reliable. - Identification of optimal conditions: Cross validation helps in identifying the most effective conditions and parameters for catalytic reactions. - Enhanced prediction accuracy: It provides a more accurate estimation of the model's performance on new, unseen data.
