diff --git a/glossary.yml b/glossary.yml index 3575c213..4e51e4df 100644 --- a/glossary.yml +++ b/glossary.yml @@ -10221,3 +10221,15 @@ A hidden layer in a [neural network](#neural_network) refers to the layers of neurons that are not directly connected to input or output. The layers are "hidden" because you do not directly observe their input and output values. + +- slug: roc_curve + ref: + - machine_learning + - classification + en: + term: "ROC Curve" + def: > + A ROC curve (Receiver Operating Characteristic curve) is a graph that displays the performance + of a binary classifier at different [classification](#classification) thresholds. The curve is + obtained by plotting the True Positive Rate (also known as Recall or [Sensitivity](#sensitivity)) + along the vertical axis and the False Positive Rate along the horizontal axis.