The F1 Score is a statistical measure used to evaluate the performance of a model, particularly in classification tasks. It is the harmonic mean of precision and recall, offering a balance between the two. In the context of email marketing, the F1 Score can help assess the effectiveness of your email campaigns by measuring how well your model predicts user engagement or response.