In predictive analytics, recall shows what proportion of the actually relevant cases were correctly identified by a machine learning model. As an example, consider a machine learning model that is trained to recognize cats or dogs in photos. Calculating its recall would be based on how often it actually recognized the dogs out of all the photos that truly contained dogs. also known as sensitivity