What is the purpose of a TPR graph?

A TPR (True Positive Rate) graph, often associated with Receiver Operating Characteristic (ROC) curves, is used to evaluate the performance of a binary classification model. It plots the true positive rate against the false positive rate at various threshold settings, allowing for a visual assessment of the trade-offs between sensitivity and specificity. This helps in selecting the optimal threshold for classifying positive and negative cases based on the desired balance between true positives and false positives.