Recall Rate
RecallAlso known as recall rate, it refers to the ratio of the number of retrieved samples to the total number of samples. It measures the recall rate of the retrieval system. Recall and precision are two metrics widely used in the field of information retrieval and statistical classification, mainly used to evaluate the quality of results.
| True category | Prediction is positive | Prediction is negative |
| Positive Example | True Example TP | False counterexample FN |
| Counterexample | False Positive FP | True Counterexample TN |
The calculation formula for recall is R = TP / (TP + FN), which represents the ratio of "correctly retrieved results TP" to all "results that should have been retrieved (TP + FN)".