AUROC

Area under the ROC curve, a common measure of how well a model separates two outcomes (for example disease vs no disease). 1.0 is perfect, 0.5 is a coin toss. A high AUROC does not guarantee the model is useful in a real clinic.

Terms like this come up in real clinical scenarios across the HelloAI courses: bite-sized modules with verifiable certificates. An account takes one minute, no password needed.