What Challenges are Associated with Cross Validation in Catalysis?
Despite its advantages, cross validation in catalysis also faces some challenges: - Time and computational resources: Cross validation, especially methods like LOOCV, can be time-consuming and require significant computational resources. - Data heterogeneity: Catalysis data can be highly variable, making it difficult to ensure that each subset is representative of the entire dataset. - Selection of appropriate method: Choosing the right cross validation method for a specific catalytic study can be challenging and may require expert knowledge.
