valideringsset

A valideringsset, also known as a validation set, is a subset of data used to evaluate the performance of a machine learning model during the training process. It is distinct from the training set, which is used to train the model, and the test set, which is used to assess the final performance of the model. The validation set serves as an intermediary step to fine-tune the model's hyperparameters and prevent overfitting. By periodically evaluating the model on the validation set, practitioners can make informed decisions about when to stop training, adjust the model's complexity, or modify other training parameters. This process helps ensure that the model generalizes well to unseen data, thereby improving its overall performance and reliability. The size of the validation set is typically smaller than the training set but larger than the test set, often ranging from 10% to 20% of the total dataset. The validation set is crucial in the development of robust and effective machine learning models.