Get Even More Visitors To Your Blog, Upgrade To A Business Listing >>

Finding Balance: Model Accuracy vs. Interpretability in Regulated Environments

At Elder Research, we are a “whiteboard on every wall” kind of office. Inspiration happens spontaneously, and any conversation, however casual, can easily drift into an involved Discussion that uncovers the hidden route to move a project forward. Recently one of these whiteboard discussions took place between our Lead Data Scientist, Mike Thurber, and Founder, Dr. John Elder IV. The conversation between Mike and John started innocently enough over lunch, but then dragged out over the next several hours. Although the tone never rose above a murmur, this was clearly a vibrant discussion. What was the subject of this whiteboard-fueled philosophizing? It was another chapter in the familiar balancing act between accuracy and interpretability in predictive modeling.



This post first appeared on Elder Research Data Science & Machine Learning Blog, please read the originial post: here

Share the post

Finding Balance: Model Accuracy vs. Interpretability in Regulated Environments

×

Subscribe to Elder Research Data Science & Machine Learning Blog

Get updates delivered right to your inbox!

Thank you for your subscription

×