In predictive analytics, precision shows what proportion of a machine learning model’s identifications of an item were actually correct. As an example, imagine a machine learning model that is trained to recognize cats or dogs in photos. Its precision is based on how many times a photo actually contains a dog compared to how many times the model says it contains a dog. also known as positive predictive value.