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Table · dataset · 2022

scikit-learn/breast-cancer-wisconsin

Listed in Hugging Face Datasets

Breast Cancer Wisconsin Diagnostic Dataset Following description was retrieved from breast cancer dataset on UCI machine learning repository.

Description

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: huggingface.co/datasets/scikit-learn/breast-cancer-wisconsin.

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Stated by source
tabular · text
Inferred from text
Cancer 75% · Image 75%
Provenance · 1 source records, 12 field assertions
SourceKeyLast seenRaw
Hugging Face Datasetsscikit-learn/breast-cancer-wisconsin14 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · Hugging Faceconnector:huggingface@1.0.0/gated
concepts[disease].local:disease:cancerenrichment · Hugging Facekeyword-concept-rules@1.0.0title+description (75%)
concepts[field].local:field:computer-science-aimapping · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].hf_modality:tabularsource · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].hf_modality:textsource · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].local:modality:imageenrichment · Hugging Facekeyword-concept-rules@1.0.0title+description (75%)
created_datesource · Hugging Faceconnector:huggingface@1.0.0
descriptionsource · Hugging Faceconnector:huggingface@1.0.0/description
licensesource · Hugging Faceconnector:huggingface@1.0.0/tags[license:*]
publication_datesource · Hugging Faceconnector:huggingface@1.0.0
titlesource · Hugging Faceconnector:huggingface@1.0.0/id
updated_datesource · Hugging Faceconnector:huggingface@1.0.0