utvärderingsuppsättningar
An evaluation set, or utvärderingsuppsättning in Swedish, is a subset of data used to assess the performance of a machine learning model after it has been trained. This set is distinct from the training set, which is used to teach the model, and often also from a validation set, which is used during training to tune hyperparameters. The primary purpose of an evaluation set is to provide an unbiased estimate of how well a model will generalize to new, unseen data.
When a model is trained, it learns patterns from the training data. Without a separate evaluation set,
The quality and representativeness of the evaluation set are crucial. It should ideally reflect the distribution