Author

E. Herdter

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Biology Disciplines

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Ecology· 1

Signature Assays, Organisms & Methods

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Approach:machine learning (classical)· 1

Activity by Year

2019-2019 · peak 1/yr

1 paper

Recent·Most cited

EcologybioRxivPreprintFeb 8, 2019

Using extreme gradient boosting (XGBoost) to evaluate the importance of a suite of environmental variables and to predict recruitment of young-of-the-year spotted seatrout in Florida

E. Herdter

This study uses XGBoost to identify key environmental predictors of spotted seatrout recruitment in Florida estuaries and demonstrates its effectiveness in predicting species abundance.

DOI 10.1101/543181

machine learning (classical)

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