What is dice score in model performance?

Question

What is dice score, a model performance evaluation metric? How to interpret the value of the dice score?

Answer 1

The Dice Score, also known as the Dice Similarity Coefficient (DSC), is a metric used to evaluate the accuracy of a model's predictions. It measures the overlap between the predicted output and the ground truth, providing a value between 0 (no overlap) and 1 (perfect overlap).

For two sets A (predicted) and B (ground truth), the Dice Score is calculated using the formula:

It's very useful for image segmentation tasks as it focuses on overlap. A higher Dice Score indicates better model performance, suggesting that the predicted segmentation aligns well with the ground truth.