breastcancer dataset

Discrimination of Cancerous and Non-Cancerous Breast Masses

Discrimination of Cancerous and Non-Cancerous Breast Masses

This data set contains case information from 699 patients from Wisconsin General Hospital who received examination for mammographic masses, which were classified as either benign or malignant. data

breastcancer

Format

A list with entries x(a699x9matrixwitheachrowcorrespondingtoanindividualcase)andx (a 699x9 matrix with each row corresponding to an individual case) and c (a vector of labels indicating whether the mass was diagnosed as benign (2) or malignant (4)).

Source

UCI Machine Learning Repository.

References

Lichman, M. (2013) UCI Machine Learning Repository. Irvine, CA: University of California, School of Information and Computer Science. [https://archive.ics.uci.edu/ml]

  • Maintainer: David Hofmeyr
  • License: GPL-3
  • Last published: 2020-03-06

About the dataset

  • Number of columns: 2
  • Class: list

Column names and types

  • x:matrixarray
  • c:integer