Cross validation of PRF and PRFGA models.

<div><p>Probabilistic Random Forest is an extension of the traditional Random Forest machine learning algorithm that is one of the frequently used machine learning algorithms employed for species distribution modeling. However, with the use of complex dataset for predicting the presence...

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محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Taiwo A. Adekunle (22226868) (author)
مؤلفون آخرون:	Ibrahim K. Ogundoyin (22226871) (author), Caleb O. Akanbi (22226874) (author)
منشور في:	2025
الموضوعات:	Genetics Molecular Biology Plant Biology Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified probabilistic random forest principal component analysis novel hybrid algorithm mastomys natalensis </ generate optimal prediction significantly improved compared novel hybrid model feature extraction sets absence sample set high predictive power spatial predictive distribution species distribution modeling div >< p feature extraction spatial distribution also compared predictive performance specific challenges results generated renowned ability prf model optimization techniques model simulation grey wolf dimensionality reduction data uncertainty complex dataset auc score also examined
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Cross validation of PRF and PRFGA models.

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