How do you interpret the F1 score? Typically, an F1 score > 0.9 is considered excellent. A score between 0.8 and 0.9 is considered good, while a score between 0.5 to 0.8 is considered average. If the F1 score falls below 0.5, then the model is considered to have a poor performance.