Supervised learning

{
  "id": "MLC-T-CHM-011611",
  "term": "Supervised learning",
  "field": "Chemistry",
  "definition": "A type of machine learning where an algorithm learns from a labeled dataset, meaning each input data point is paired with a corresponding output label. The goal is for the algorithm to learn a mapping function from inputs to outputs, enabling it to make predictions on new, unseen data. Common applications include classification and regression tasks in drug discovery.",
  "subject": "Chemistry and Human Health",
  "see_also": [
    "recursive partitioning"
  ],
  "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/supervised-learning/"
}