Fit accuracy refers to how well a statistical model's predictions align with actual observed data, serving as a critical measure for evaluating model performance. High fit accuracy indicates that the model effectively captures the underlying patterns in the data, while low fit accuracy suggests the need for model refinement or selection of a different model type.