Random forest method
Term · Chemistry · MLC-T-CHM-009921
A machine learning technique that constructs multiple decision trees during training and outputs the mode of the classes (for classification) or mean prediction (for regression) of the individual trees. This ensemble method reduces overfitting and improves predictive accuracy compared to a single decision tree. It is widely used in cheminformatics for predicting chemical properties and biological activities.
| Identifier | MLC-T-CHM-009921 |
|---|---|
| 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 254 (https://doi.org/10.1515/pac-2012-1204) |
| See also | Recursive partitioning |
Record as JSON
{
"id": "MLC-T-CHM-009921",
"term": "Random forest method",
"field": "Chemistry",
"definition": "A machine learning technique that constructs multiple decision trees during training and outputs the mode of the classes (for classification) or mean prediction (for regression) of the individual trees. This ensemble method reduces overfitting and improves predictive accuracy compared to a single decision tree. It is widely used in cheminformatics for predicting chemical properties and biological activities.",
"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 254 (https://doi.org/10.1515/pac-2012-1204)"
],
"url": "https://mlchart.com/terminology/chemistry/random-forest-method/"
}
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