| bcw {UBayFS} | R Documentation |
Breast Cancer Wisconsin dataset
Description
A dataset containing features computed from digitized images of a fine needle aspirate (FNA) of a breast mass. The target function contains two classes representing patient diagnoses (M...malignant and B...benign). The dataset has been taken from the UCI Repository of Machine Learning Databases and was created by W. H. Wolberg, W. N. Street and O. L. Mangasarian in 1995. For details, see UCI documentation or literature:
Feature blocks were added to the original dataset according to the dataset description (10 blocks corresponding to different image characteristics).
Usage
bcw
Format
A list containing:
a matrix 'data' with 569 rows and 30 columns representing features,
a vector 'labels' of factor type with 569 entries representing the binary target variable, and
a list of feature indices representing feature blocks.
Source
https://archive.ics.uci.edu/ml/datasets/breast+cancer+wisconsin+(diagnostic)