| breast_cancer {QuadratiK} | R Documentation |
Breast Cancer Wisconsin (Diagnostic)
Description
The breast_cancer Wisconsin data has 569 rows and 31 columns. The
first 30 variables report the features that are computed from a digitized
image of a fine needle aspirate (FNA) of a breast mass. They describe
characteristics of the cell nuclei present in the image. The last column
indicates the class labels (Benign = 0 or Malignant = 1).
Usage
breast_cancer
Format
A data frame of 569 observations and 31 variables.
Source
Wolberg,William, Mangasarian,Olvi, Street,Nick, and Street,W.. (1995). Breast Cancer Wisconsin (Diagnostic). UCI Machine Learning Repository.
https://doi.org/10.24432/C5DW2B.
References
Street, W. N., Wolberg, W. H., & Mangasarian, O. L. (1993, July). Nuclear feature extraction for breast tumor diagnosis. In Biomedical image processing and biomedical visualization (Vol. 1905, pp. 861-870). SPIE.
Examples
data(breast_cancer)
summary(breast_cancer)