An Efficient Parallel Reptile Search Algorithm and Snake Optimizer Approach for Feature Selection

An Efficient Parallel Reptile Search Algorithm and Snake Optimizer Approach for Feature Selection

Feature Selection (FS) is a major preprocessing stage which aims to improve Machine Learning (ML) models’ performance by choosing salient features, while reducing the computational cost. Several approaches are presented to select the most Optimal Features Subset (OFS) in a given dataset. In this pap...

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Bibliographic Details
Main Authors: Ibrahim Al-Shourbaji, Pramod H. Kachare, Samah Alshathri, Salahaldeen Duraibi, Bushra Elnaim, Mohamed Abd Elaziz
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Mathematics
Subjects:
classification
feature selection
metaheuristic algorithms
reptile search algorithm
snake optimizer
Online Access:https://www.mdpi.com/2227-7390/10/13/2351

Internet

https://www.mdpi.com/2227-7390/10/13/2351

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