👉 "Forespecified" refers to a type of model in machine learning where the model's parameters are specified only at the initial training stage, before any data is used for training. This approach can be particularly useful when dealing with large datasets or when there is limited computational resources available. The term originates from the French "fors" meaning "with", and "specifie" means "specified".
