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Study and Performance Evaluation of Machine Learning Algorithms

Author

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  • Nairutvi Gajendrabhai Mistry
  • Shraddha Yogesh Garg
  • Chaudhari Kiranbhai Jivanbhai
  • Darshanaben Dipakkumar Pandya

Abstract

In the fields of computer science and artificial intelligence, machine learning has emerged as one of the most significant and quickly developing technologies. This paper describes several machine learning algorithms. Data mining, image processing, predictive analytics, healthcare, cyber security, recommendation systems, and natural language processing are just a few of the many uses for these techniques. The main advantage of using machine learning is that algorithms can do jobs independently with little assistance from humans once they have learned how to use data. The accuracy, efficiency, training time, scalability, and prediction capabilities of various machine learning algorithms are compared and evaluated in this research report.

Suggested Citation

  • Nairutvi Gajendrabhai Mistry & Shraddha Yogesh Garg & Chaudhari Kiranbhai Jivanbhai & Darshanaben Dipakkumar Pandya, 2026. "Study and Performance Evaluation of Machine Learning Algorithms," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 12(3), pages 341-346, June.
    • Handle: RePEc:jbh:ijsrcs:v12:y2026:i3:id:2025
    DOI: 10.32628/CSEIT26123326
    Note: Article URL: https://ijsrcseit.com/home/article/view/CSEIT26123326
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