breast_cancer: Breast Cancer Wisconsin (Diagnostic)

In QuadratiK: Collection of Methods Constructed using Kernel-Based Quadratic Distances

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, W., Mangasarian, O., Street, N., & Street, W. (1993). 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)

QuadratiK documentation built on Oct. 29, 2024, 5:08 p.m.