Machine Learning based Feature Selection Approaches for Early Prediction of Autism Spectrum Disorder - Review

Authors

  • Asif Mohamed H B  Research Scholar, School of CSE, Presidency University, Bengaluru, Karnataka, India,
  • Dr. Md. Sameeruddin Khan  Professor & Dean, School of CSE, Presidency University, Bengaluru, Karnataka, India,
  • Dr. Mohan K G  Professor, Department of CSE, GITAM University, Bengaluru, Karnataka, India.
  • Dr. Parashuram Baraki  Professor, Department of CSE, Smt. Kamala and Sri Venkappa M Agadi College of Engineering and Technology, Lakshmeshwar Dist : Gadag, India

DOI:

https://doi.org/10.32628/IJSRST2310161

Keywords:

Machine Learning, Feature Selection, Autism Spectrum Disorder

Abstract

Feature selection is the task of selecting a small subset of the original features that can achieve maximum classification accuracy. This subset of features has some very important benefits: This makes feature selection an essential task for classification tasks.

References

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International Journal of Scientific Research in Science and Technology

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Published

2023-02-28

Issue

Volume 10, Issue 1, January-February-2023

Section

Research Articles

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How to Cite

[1]
Asif Mohamed H B, Dr. Md. Sameeruddin Khan, Dr. Mohan K G, Dr. Parashuram Baraki "Machine Learning based Feature Selection Approaches for Early Prediction of Autism Spectrum Disorder - Review" International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011,Volume 10, Issue 1, pp.451-455, January-February-2023. Available at doi : https://doi.org/10.32628/IJSRST2310161