Deep Learning Systems
The area under the receiver operating characteristic (ROC) curve, often abbreviated as AUC, is a performance metric for binary classification models. It quantifies the model's ability to distinguish between positive and negative classes across various threshold settings, with a value of 1 indicating perfect classification and a value of 0.5 representing random guessing. AUC provides insights into the effectiveness of domain adaptation techniques by measuring how well a model generalizes from a source domain to a target domain.
congrats on reading the definition of Area under the receiver operating characteristic curve. now let's actually learn it.