Regularization

Term · Chemistry · MLC-T-CHM-010121

A technique employed in computational modeling and machine learning to prevent overfitting by adding a penalty term to the loss function. This penalty discourages overly complex models that might perform well on training data but poorly on unseen data. L1 and L2 regularization, also known as Lasso and Ridge regression respectively, are common forms used in statistical modeling.

Table 1. Record
Identifier	MLC-T-CHM-010121
Field	Chemistry
Subject	Chemistry and Human Health
References	PAC, 2016, 88, 239. 'Glossary of terms used in computational drug design, part II (IUPAC Recommendations 2015)' on page 255 (https://doi.org/10.1515/pac-2012-1204)

Record as JSON

{
  "id": "MLC-T-CHM-010121",
  "term": "Regularization",
  "field": "Chemistry",
  "definition": "A technique employed in computational modeling and machine learning to prevent overfitting by adding a penalty term to the loss function. This penalty discourages overly complex models that might perform well on training data but poorly on unseen data. L1 and L2 regularization, also known as Lasso and Ridge regression respectively, are common forms used in statistical modeling.",
  "subject": "Chemistry and Human Health",
  "references": [
    "PAC, 2016, 88, 239. 'Glossary of terms used in computational drug design, part II (IUPAC Recommendations 2015)' on page 255 (https://doi.org/10.1515/pac-2012-1204)"
  ],
  "url": "https://mlchart.com/terminology/chemistry/regularization/"
}

Record 10,762 of 13,676 in Chemistry terminology (MLC-0109). Request the full dataset.