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.
