MLchartDataset catalogue

Specificity

Term · Chemistry · MLC-T-CHM-013584

A performance measure of a two-class classification model, such as a QSAR predictor of toxicity, giving the fraction of truly inactive or non-toxic compounds that the model correctly labels as negative. It equals true negatives divided by the sum of true negatives and false positives, so it ranges from 0 to 1. Sensitivity is the counterpart that scores the active or toxic class.

Table 1. Record
IdentifierMLC-T-CHM-013584
FieldChemistry
SubjectChemistry and Human Health
ReferencesPAC, 2016, 88, 239. 'Glossary of terms used in computational drug design, part II (IUPAC Recommendations 2015)' on page 257 (https://doi.org/10.1515/pac-2012-1204)
See alsoRecall
Record as JSON
{
  "id": "MLC-T-CHM-013584",
  "term": "Specificity",
  "field": "Chemistry",
  "definition": "A performance measure of a two-class classification model, such as a QSAR predictor of toxicity, giving the fraction of truly inactive or non-toxic compounds that the model correctly labels as negative. It equals true negatives divided by the sum of true negatives and false positives, so it ranges from 0 to 1. Sensitivity is the counterpart that scores the active or toxic class.",
  "subject": "Chemistry and Human Health",
  "see_also": [
    "recall"
  ],
  "references": [
    "PAC, 2016, 88, 239. 'Glossary of terms used in computational drug design, part II (IUPAC Recommendations 2015)' on page 257 (https://doi.org/10.1515/pac-2012-1204)"
  ],
  "url": "https://mlchart.com/terminology/chemistry/specificity/"
}

Record 11,847 of 13,676 in Chemistry terminology (MLC-0109). Request the full dataset.