brca {dslabs}R Documentation

Breast Cancer Wisconsin Diagnostic Dataset from UCI Machine Learning Repository

Description

Biopsy features for classification of 569 malignant (cancer) and benign (not cancer) breast masses.

Usage

brca

Format

An object of class list.

Details

Features were computationally extracted from digital images of fine needle aspirate biopsy slides. Features correspond to properties of cell nuclei, such as size, shape and regularity. The mean, standard error, and worst value of each of 10 nuclear parameters is reported for a total of 30 features.

This is a classic dataset for training and benchmarking machine learning algorithms.

Source

UCI Machine Learning Repository

Examples

table(brca$y)
dim(brca$x)
head(brca$x)

[Package dslabs version 0.8.0 Index]