Data Augmentation and Machine Learning algorithms for multi-class imbalanced morphometrics data of stingless bees

The study focusses on handling of multiclass imbalanced data on classification of stingless bee samples by employing data balancing techniques, namely Synthetic Minority Oversampling Technique (SMOTE) and Adaptive Synthetic (ADASYN) approach. These techniques are applied in combination with machine...

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Detalhes bibliográficos

Principais autores:	Daisy Salifu, Lorna Chepkemoi, Eric Ali Ibrahim, Kiatoko Nkoba, Henri E.Z. Tonnang
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Elsevier 2025-02-01
coleção:	Heliyon
Assuntos:	Imbalanced data Stingless bees Random forest SVM SMOTE ADASYN
Acesso em linha:	http://www.sciencedirect.com/science/article/pii/S2405844025005948
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