Breast Cancer Wisconsin (Diagnostic)

uci:breast-cancer-wisconsin-diagnostic@1 · Registry 1.2.0. Default version in this registry.

Diagnostic breast-mass features computed from digitized fine-needle aspirate images and distributed by the UCI Machine Learning Repository.

Dimensions and tasks

Task	Type	Split	Samples	Predictors
default	classification	—	569	30

Predictor counts follow each task's feature selection and exclude targets and identifiers. Sample counts are reported separately for each split.

Retrieve

These examples pin both the dataset version and the registry's exact index. An uncached dataset requires network access to its source. The CLI retrieves verified artifacts. The language clients also decode them.

Python

from datamonger import Registry, fetch_data

registry = Registry(
    release="1.2.0",
    index_sha256="4b4e6aeb71ad7e53c3596a725e62008c76c27a59ac68c53a02432898ec8b6f21",
    index_url="https://github.com/jolars/datamonger/releases/download/registry-v1.2.0/index.json",
)
data = fetch_data("uci:breast-cancer-wisconsin-diagnostic@1", registry=registry)

R

library(datamonger)

registry <- registry_selector(
  release = "1.2.0",
  index_sha256 = "4b4e6aeb71ad7e53c3596a725e62008c76c27a59ac68c53a02432898ec8b6f21",
  index_url = "https://github.com/jolars/datamonger/releases/download/registry-v1.2.0/index.json"
)
data <- fetch_data("uci:breast-cancer-wisconsin-diagnostic@1", registry = registry)

Julia

using Datamonger

registry = registry_selector(
    "1.2.0",
    "4b4e6aeb71ad7e53c3596a725e62008c76c27a59ac68c53a02432898ec8b6f21",
    "https://github.com/jolars/datamonger/releases/download/registry-v1.2.0/index.json",
)
data = fetch_data("uci:breast-cancer-wisconsin-diagnostic@1"; registry=registry)

CLI

cat > datamonger-registry.json <<'JSON'
{
  "index_sha256": "4b4e6aeb71ad7e53c3596a725e62008c76c27a59ac68c53a02432898ec8b6f21",
  "index_url": "https://github.com/jolars/datamonger/releases/download/registry-v1.2.0/index.json",
  "release": "1.2.0",
  "schema_version": 1
}
JSON
datamonger --selector datamonger-registry.json fetch 'uci:breast-cancer-wisconsin-diagnostic@1'

Representation and variables

Tabular data with a dense representation. Decoder: delimited-text version 1.

Component	Kind	Type	Shape
ID	vector	int64	569
radius1	vector	float64	569
texture1	vector	float64	569
perimeter1	vector	float64	569
area1	vector	float64	569
smoothness1	vector	float64	569
compactness1	vector	float64	569
concavity1	vector	float64	569
concave_points1	vector	float64	569
symmetry1	vector	float64	569
fractal_dimension1	vector	float64	569
radius2	vector	float64	569
texture2	vector	float64	569
perimeter2	vector	float64	569
area2	vector	float64	569
smoothness2	vector	float64	569
compactness2	vector	float64	569
concavity2	vector	float64	569
concave_points2	vector	float64	569
symmetry2	vector	float64	569
fractal_dimension2	vector	float64	569
radius3	vector	float64	569
texture3	vector	float64	569
perimeter3	vector	float64	569
area3	vector	float64	569
smoothness3	vector	float64	569
compactness3	vector	float64	569
concavity3	vector	float64	569
concave_points3	vector	float64	569
symmetry3	vector	float64	569

Showing 30 of 32 components. The complete registry record contains every variable name and task binding.

Preprocessing

Preprocessing history is not recorded in this registry release.

Provenance and citation

Provider: UCI Machine Learning Repository. Upstream name: Breast Cancer Wisconsin (Diagnostic). Retrieved: 2026-09-06.

Original source

Authors: William Wolberg, Olvi Mangasarian, Nick Street, W. Street.

Wolberg, W., Mangasarian, O., Street, N., and Street, W. (1993). Breast Cancer Wisconsin (Diagnostic). UCI Machine Learning Repository. https://doi.org/10.24432/C5DW2B.

License

CC-BY-4.0

License information

The UCI dataset page states that the dataset is licensed under CC BY 4.0.

Artifacts

Total download: 122.1 KiB. Sizes describe the distributed files, including any compression.

Artifact	Format	Compression	Size	Distribution	Preservation
data	csv	none	122.1 KiB	upstream-only	unknown

data: upstream

Versions in this registry

1 (default)

Registry record

Download the complete registry record, registry selector, or full registry index.

Index SHA-256: 4b4e6aeb71ad7e53c3596a725e62008c76c27a59ac68c53a02432898ec8b6f21.