ROC curve analysis is a statistical method used to evaluate the performance of binary classification models by plotting the true positive rate against the false positive rate at various threshold settings. This technique helps in determining the optimal threshold for classifying data, especially in metabolomics, where distinguishing between healthy and diseased states is crucial for understanding biological processes.
congrats on reading the definition of roc curve analysis. now let's actually learn it.