Valideringsuppsättningen
Valideringsuppsättningen refers to a set of data used in machine learning and software development to verify the performance and accuracy of a model or system after it has been trained. This distinct dataset is separate from the training data, which is used to teach the model, and the test data, which is used for a final, conclusive evaluation. The purpose of the validation set is to tune hyperparameters and make design choices during the model development process.
By evaluating the model on the validation set during training, developers can identify overfitting, where a
The size and composition of the validation set are crucial. A sufficiently large set ensures that performance