Breast Cancer Diagnosis using Python

EasyChair Preprint 4154

Abstract

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

@booklet{EasyChair:4154,
  author    = {Salma Yousaf and Shakeel Khan},
  title     = {Breast Cancer Diagnosis using Python},
  howpublished = {EasyChair Preprint 4154},
  year      = {EasyChair, 2020}}