Research on Naive Bayes Algorithm of Breast Cancer Diagnose Data by Machine Learning

Authors

  • Saket P Department of Computer Science, Shri Ram Institute of Technology Jabalpur, RGPV, Bhopal, India
  • khuranaA Department of Computer Science, Shri Ram Institute of Technology Jabalpur, RGPV, Bhopal, India

Keywords:

Breast Cancer Dataset, NaïveBayes classification Algorithm.

Abstract

Breast cancer is one amongst the leading cancers for ladies in developed countries including Asian nation .It is the second most typical explanation for cancer death in women. The high incidence of breast cancer in women has redoubled considerably within the last years. Naïve Bayes algorithm is used for carcinoma identification Prognosis and diagnosis. Carcinoma Diagnosis is identifying of benign from malignant breast lumps and carcinoma Prognosis predicts once Breast Cancer is to recur in patients that have had their cancers excised. In this paper Naïve Bayes Algorithm is used to classify the Datasets of Breast Cancer (Diagnosis). The classification results show that when two features of maximum radius and maximum texture is selected, the classification improved accuracy is 98.6%, which is improved compared with previous method.

References

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Published

2025-11-25

How to Cite

[1]
P. Saket and A. khurana, “Research on Naive Bayes Algorithm of Breast Cancer Diagnose Data by Machine Learning”, Int. J. Comp. Sci. Eng., vol. 7, no. 10, pp. 149–151, Nov. 2025.

Issue

Vol. 7 No. 10 (2019): IJCSE Special Issue May Edition

Section

Research Article

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