Recall

How it is used

Also called sensitivity or true positive rate, especially in medicine. Recall matters most when missing a case is costly, as in fraud detection or disease screening. Precision and recall usually trade off, and the F1 score combines them.

Example sentences

1. The model's recall is only 60%, so it misses four in ten fraud cases.

2. For this use case we care more about recall than precision.

Common collocations

• high recall
• precision and recall
• improve recall
• recall score

Related terms

• precisionOf all the cases a model labels as positive, the share that really are positive; high precision means few false alarms.
• accuracyThe share of all predictions that a model gets right; for example, 90 correct predictions out of 100 means an accuracy of 90%.
• classificationA type of modelling task in which the model predicts which category something belongs to, such as spam or not spam, or which product a review is about.
• test setA part of the data that is held back and never used in training, so that it can show at the end how well a model works on data it has not seen.

This word in other fields

The same English word can have a different meaning in another field:

• recall · Software Engineering
• recall · Artificial Intelligence & Machine Learning
• recall · Automotive
• recall · Food Science & Technology
• recall · Dentistry

More terms: Modelling and Machine Learning

• model
• feature
• training data
• overfitting
• regression
• cross-validation
• baseline
• feature engineering
• target variable
• clustering