Detecting overfitting involves evaluating the generalizability of the catalytic system or model. One common method is to use cross-validation, where the data set is divided into multiple parts, and the model is trained on some parts and tested on others. If the model performs well on the training data but poorly on the test data, it is likely overfitting. Additionally, comparing the performance of the catalyst under various conditions can help identify overfitting.
