video1.0<iframe src="https://www.loom.com/embed/7070fcdaabf74ace9cf622e5341107c0" frameborder="0" width="1920" height="1440" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14401920Loomhttps://www.loom.com14401920https://cdn.loom.com/sessions/thumbnails/7070fcdaabf74ace9cf622e5341107c0-4de3fba29d32016c.gif782.251In this video, I discuss how to evaluate the performance of our fraud detection model using precision and recall metrics. I explain the importance of finding the right probability threshold, which I suggest is around 30%, to balance precision and recall effectively. I also calculate the potential monetary savings from the model, which amounts to $194,000 based on our test set of 3,000 records. Please review the calculations and let me know if you have any questions or feedback.