A test set is a portion of data that is set aside during the machine learning process to evaluate the performance of a trained model. It serves as an unbiased benchmark to assess how well the model can generalize its predictions on unseen data. The proper use of a test set is crucial for understanding the model's accuracy and effectiveness in real-world applications.
congrats on reading the definition of test set. now let's actually learn it.