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Breast Cancer Diagnosis using Python

EasyChair Preprint no. 4154

9 pagesDate: September 9, 2020


Breast cancer is the most common disease which is found more in women and the cause of death of them. It is spreading worldwide. In this research paper Diagnosis of breast cancer is performed in python using different classifier.  Here I used the dataset of breast cancer and apply different machine learning algorithms to get different results. There are two main diagnoses categories are in breast cancer. One is called malignant diagnosis and the other one is called benign diagnosis. These two types of diagnosis are processed in python using different machine learning algorithms.

Keyphrases: breast cancer, Classifiers, k-nearest neighbors, Naïve Byes, SVM, visualization graphs

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Salma Yousaf and Shakeel Khan},
  title = {Breast Cancer Diagnosis using Python},
  howpublished = {EasyChair Preprint no. 4154},

  year = {EasyChair, 2020}}
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