Test Set

A test set is a subset of data used to evaluate the performance of a machine learning model or algorithm after it has been trained on a separate dataset. In the context of research, a test set is crucial for assessing the accuracy, reliability, and generalizability of a model, allowing researchers to validate their findings and compare the effectiveness of different approaches.