metadata

language:
  - en
tags:
  - breast
  - tabular_classification
  - binary_classification
  - UCI
pretty_name: Breast
size_categories:
  - n<1K
task_categories:
  - tabular-classification
configs:
  - cancer
license: cc

Breast cancer

The Breast cancer dataset from the UCI ML repository. Classify cancerousness of the given cell.

Configurations and tasks

Configuration	Task	Description
cancer	Binary classification	Is the cell clump cancerous?

Usage

from datasets import load_dataset

dataset = load_dataset("mstz/breast", "cancer")["train"]

Features

Name	Type	Description
`clump_thickness`	`int8`	Thickness of the clump
`uniformity_of_cell_size`	`int8`	Uniformity of cell size
`uniformity_of_cell_shape`	`int8`	Uniformity of cell shape
`marginal_adhesion`	`int8`	Marginal adhesion
`single_epithelial_cell_size`	`int8`	single_epithelial_cell_size
`bare_nuclei`	`int8`	bare_nuclei
`bland_chromatin`	`int8`	bland_chromatin
`normal_nucleoli`	`int8`	normal_nucleoli
`mitoses`	`int8`	mitoses
is_cancer	`int8`	Is the clump cancer