David Lindelöf

David Lindelöf · Follow Published in Towards Data Science · 4 min read · 4 days ago — When you run a binary classifier over a population you get an estimate of the proportion of true positives in that population. This is known as the prevalence. Photo by Rod Long on Unsplash But that estimate is biased, because no classifier is perfect. For example, if your classifier tells you that you have 20% of positive