A supervised machine learning approach for the prediction of antioxidant activities of Amaranthus viridis seed

A supervised machine learning approach for the prediction of antioxidant activities of Amaranthus viridis seed

This research aimed at modelling and predicting the antioxidant activities of Amaranthus viridis seed extract using four (4) data-driven models. Artificial Neural Network (ANN), Support Vector Machine (SVM), k-nearest Neighbour (k-NN), and Decision Tree (DT) were used as modelling algorithms for the...

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Bibliographic Details
Main Authors: Babatunde Olawoye, Oladapo Fisoye Fagbohun, Oyekemi Popoola-Akinola, Jide Ebenezer Taiwo Akinsola, Charles Taiwo Akanbi
Format: Article
Language:English
Published: Elsevier 2024-02-01
Series:Heliyon
Subjects:
Data-driven models
Support vector machine
Antioxidant
Decision tree
Amaranthus viridis
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844024005371

Internet

http://www.sciencedirect.com/science/article/pii/S2405844024005371

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