True Positive Rate (TPR) is a metric used in statistics, machine learning, and medical diagnosis to evaluate the performance of binary classification models. It represents the proportion of actual positive cases that are correctly identified or classified as positive by the model. TPR is also called sensitivity, recall, or hit rate.

The true rate can be used to measure problems in binary contexts, such as predicting events, detecting diseases, quality control, and machine learning - evaluating the performance of a classification algorithm or model.

True Positive Rate Formula

The TPR rate measures the proportion of positive instances that the model accurately detects as positive. The calculation formula is:

TPR = TP / (TP + FN)

• TP (True Positive)——Correctly classified positive examples.
• FN (False Negative) — Misclassified negative examples.

References

【1】https://www.iguazio.com/glossary/true-positive-rate/