Question about training, validation, testing and missing rates?

[Rajesh90123]

Greetings, sir. In your research paper, "SAITS: Self-Attention-based Imputation for Time Series", you have presented a table with different missing rates (20% to 90%). So, do you prepare best models from each val_dataset with different missing % rates so as to provide result for corresponding missing % of test or do you save model based on specific missing percentage in validation data (say 20% loss in val data) and use it to prepare result for test for other missing percentage(say 30% artificial missing percentage in test data)?