EXAMINING THE IMPACT OF FEATURE SELECTION TECHNIQUES ON MACHINE AND DEEP LEARNING MODELS FOR THE PREDICTION OF COVID-19
Feature selection is a vital preprocessing step for identifying the most informative features in complex datasets, enhancing the efficiency and accuracy of machine learning models. Its applications extend across various domains, including big data analytics, finance, chemometrics, medical diagnostic...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
UiTM Press
2025-04-01
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| Series: | Malaysian Journal of Computing |
| Subjects: | |
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