The F1 Score ranges from 0 to 1, with 1 being the best possible score. A higher F1 Score indicates a model with both high precision and high recall, meaning it accurately identifies positive instances (e.g., clicks or conversions) without generating too many false positives. Conversely, a lower F1 Score indicates a model that struggles with accuracy and/or recall.