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Proceedings of the Second International Conference on Soft Computing for Problem Solving (SocProS 2012), December 28-30, 2012 pp 639–644Cite as

Lower Bound on Naïve Bayes Classifier Accuracy in Case of Noisy Data

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 236))

Abstract

Classification is usually the final and one of the most important steps in most of the tasks involving machine learning, computer vision, etc., for e.g., face detection, optical character recognition, etc. This paper gives a novel technique for estimating the performance of Naïve Bayes Classifier in noisy data. It also talks about removing those attributes that cause the classifier to be biased toward a particular class.

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References

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Author information

Authors and Affiliations

  1. IIT Allahabad, Allahabad, India

    Karan Rawat

  2. Government Engineering College, Ajmer, Rajasthan, India

    Abhishek Kumar & Anshuman Kumar Gautam

Authors
  1. Karan Rawat
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  2. Abhishek Kumar
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  3. Anshuman Kumar Gautam
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Corresponding author

Correspondence to Karan Rawat .

Editor information

Editors and Affiliations

  1. Institute of Engineering and Technology, JK Lakshmipat University, Jaipur, Rajasthan, India

    B. V. Babu

  2. Department of Computer Science, Liverpool Hope University, Liverpool, United Kingdom

    Atulya Nagar

  3. Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India

    Kusum Deep

  4. Department of Paper Technology, Indian Institute of Technology Roorkee, Roorkee, India

    Millie Pant

  5. Department of Applied Mathematics, South Asian University, New Delhi, India

    Jagdish Chand Bansal

  6. Institute of Engineering and Technology, JK Lakshmipat University, Jaipur, Rajasthan, India

    Kanad Ray

  7. Institute of Engineering and Technology, JK Lakshmipat University, Jaipur, Rajasthan, India

    Umesh Gupta

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Cite this paper

Rawat, K., Kumar, A., Gautam, A.K. (2014). Lower Bound on Naïve Bayes Classifier Accuracy in Case of Noisy Data. In: Babu, B., et al. Proceedings of the Second International Conference on Soft Computing for Problem Solving (SocProS 2012), December 28-30, 2012. Advances in Intelligent Systems and Computing, vol 236. Springer, New Delhi. https://doi.org/10.1007/978-81-322-1602-5_68

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  • DOI: https://doi.org/10.1007/978-81-322-1602-5_68

  • Published:

  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-1601-8

  • Online ISBN: 978-81-322-1602-5

  • eBook Packages: EngineeringEngineering (R0)

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