Information Retrieval Questions
The F1 score is a measure of a model's accuracy in information retrieval tasks, particularly in binary classification problems. It is the harmonic mean of precision and recall, providing a balanced evaluation of both metrics. The formula for calculating the F1 score is:
F1 score = 2 * (precision * recall) / (precision + recall)