Breast Cancer Wisconsin

Hugging Face

Breast Cancer Wisconsin Diagnostic Dataset Following description was retrieved from breast cancer dataset on UCI machine learning repository. Features 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. A few of the images can be found at here. Separating plane described above was obtained using Multisurface Method-Tree (MSM-T), a classification method which uses linear… See the full description on the dataset page: https://huggingface.co/datasets/scikit-learn/breast-cancer-wisconsin.

scikit-learn--breast-cancer-wisconsin.parquet 500 rows scikit-learn/breast-cancer-wisconsin

Open in Helix

Interesting queries to try

Columns

id numeric
diagnosis categorical
radius_mean numeric
texture_mean numeric
perimeter_mean numeric
area_mean numeric
smoothness_mean numeric
compactness_mean numeric
concavity_mean numeric
concave points_mean numeric
symmetry_mean numeric
fractal_dimension_mean numeric
radius_se numeric
texture_se numeric
perimeter_se numeric
area_se numeric
smoothness_se numeric
compactness_se numeric
concavity_se numeric
concave points_se numeric
symmetry_se numeric
fractal_dimension_se numeric
radius_worst numeric
texture_worst numeric
perimeter_worst numeric
area_worst numeric
smoothness_worst numeric
compactness_worst numeric
concavity_worst numeric
concave points_worst numeric
symmetry_worst numeric
fractal_dimension_worst numeric
Unnamed: 32 unknown