confusion‑matrix is a lightweight JavaScript/Node library that builds a confusion matrix from true‑ and predicted‑label arrays (or from an existing matrix) and provides common classification metrics such as accuracy, sensitivity, specificity, precision, recall, F‑score, etc. It is aimed at data‑science and machine‑learning developers who need a simple way to evaluate supervised classification models in JavaScript environments.