Recall

{
  "id": "MLC-T-CHM-010006",
  "term": "Recall",
  "field": "Chemistry",
  "definition": "A metric for evaluating the performance of a classification model, such as those used in virtual screening for drug discovery. It measures the model's ability to identify all relevant instances by calculating the ratio of true positives to the total number of actual positives (the sum of true positives and false negatives). A high recall value indicates that the model successfully finds most of the active compounds within a dataset, minimizing missed opportunities.",
  "subject": "Chemistry and Human Health",
  "see_also": [
    "specificity"
  ],
  "references": [
    "PAC, 2016, 88, 239. 'Glossary of terms used in computational drug design, part II (IUPAC Recommendations 2015)' on page 254 (https://doi.org/10.1515/pac-2012-1204)"
  ],
  "url": "https://mlchart.com/terminology/chemistry/recall/"
}