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Bagging for Improving Accuracy of Diabetes Classification

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Intelligent Computing and Communication (ICICC 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1034))

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Abstract

The quality of human life is improved by detecting diseases effectively based on the rapid development of digital image processing, internet of things and effective deep learning processing. We propose a novel application of Bootstrap Aggregation, i.e., Bagging for improving the accuracy of diabetes classification in this paper. The model of bagged logistic regression is designed to classify diabetes effectively. The ROC is used to visualize performance of the algorithm based on False_Positive_Rate (FPR) and True_Positive_Rate (TPR). The parameters performances of the proposed method are compared with the existing techniques. It is concluded that the performance of the current method with bagging is better compared to traditional techniques that do not apply any additional measures.

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Author information

Authors and Affiliations

  1. Research Scholar, School of Computing and Information Technology, Reva University, Bengaluru, 560064, Karnataka, India

    Prakash V. Parande

  2. Ex-Director of School of Computing & Information Technology, Reva University, Bengaluru, 560064, Karnataka, India

    M. K. Banga

  3. Department of CSE, Dayanandsagar University, Bengaluru, 560068, Karnataka, India

    M. K. Banga

Authors
  1. Prakash V. Parande
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  2. M. K. Banga
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Corresponding author

Correspondence to Prakash V. Parande .

Editor information

Editors and Affiliations

  1. Department of Electronics and Communication Engineering, Shri Ramswaroop Memorial Group of Professional Colleges (SRMGPC), Lucknow, Uttar Pradesh, India

    Vikrant Bhateja

  2. School of Computer Engineering, Kalinga Institute of Industrial Technology (KIIT), Bhubaneswar, Odisha, India

    Suresh Chandra Satapathy

  3. Department of Informatics, University of Leicester, Leicester, UK

    Yu-Dong Zhang

  4. Department of MCA, J. S. S. Science and Technology University, Mysuru, India

    V. N. Manjunath Aradhya

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Parande, P.V., Banga, M.K. (2020). Bagging for Improving Accuracy of Diabetes Classification. In: Bhateja, V., Satapathy, S., Zhang, YD., Aradhya, V. (eds) Intelligent Computing and Communication. ICICC 2019. Advances in Intelligent Systems and Computing, vol 1034. Springer, Singapore. https://doi.org/10.1007/978-981-15-1084-7_13

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