Cross validation is crucial in catalysis for several reasons: 1. It ensures that the catalytic model is not overfitted to a particular dataset. 2. It provides a more accurate assessment of the model's performance. 3. It helps in fine-tuning the model by identifying the most effective [catalysts] and conditions.
