A feature selection and scoring scheme for dimensionality reduction in a machine learning task

Selection of important features is very vital in machine learning tasks involving high-dimensional dataset with large features. It helps in reducing the dimensionality of a dataset and improving model performance. Most of the feature selection techniques have restriction in the kind of dataset to b...

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Bibliographic Details
Main Authors: PHILEMON UTEN EMMOH, christopher ifeanyi Eke, Timothy Moses
Format: Article
Language:English
Published: Nigerian Society of Physical Sciences 2025-02-01
Series:Journal of Nigerian Society of Physical Sciences
Subjects:
Online Access:https://journal.nsps.org.ng/index.php/jnsps/article/view/2273
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