Evaluating Performance as a Data Scientist

We have discussed four metrics that you can use to evaluate the performance of your segmentation models. As usual, a great explanation of these can also be found on Wikipedia which I’m linking here if you are looking for additional details:

• Sensitivity and Specificity
• Dice Similarity Coefficient
• Jaccard Index
• Hausdorff Distance

Note these metrics as they are very handy as you are publishing your model’s validation reports, but also they could be used to construct more elaborate cost functions. We will take a closer look at how these metrics work, but for now, let’s see how clinicians think of performance.