Work

Random Forest Regression Models in Ecology: Accounting for Messy Biological Data and Producing Predictions with Uncertainty

Year: 2024

Type: article

Source: Fisheries Research

DOI: 10.1016/j.fishres.2024.107161

Author: Caitlin I. Allen Akselrud

Institution: NOAA National Marine Fisheries Service Southwest Fisheries Science Center

Language: English

Topic: Forecasting Techniques and Applications

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

SDG: Life on land

Open Access status: bronze

Funders: National Oceanic and Atmospheric Administration, California Department of Fish and Wildlife, Office of the Secretary of Transportation, National Marine Fisheries Service, NOAA Sea Grant

Award: G8318877358

OpenAlex ID: W4402313637

FWCI: 21.62

Cites: 36

Cited by: 71

Related to: 10