
Breast Cancer Wisconsin (Diagnostic)
Donated on 11/1/1995
Diagnostic Wisconsin Breast Cancer Database.
Dataset Characteristics
Multivariate
Subject Area
Life
Associated Tasks
Classification
Attribute Type
Real
# Instances
569
# Attributes
30
Information
Additional Information
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 http://www.cs.wisc.edu/~street/images/ Separating plane described above was obtained using Multisurface Method-Tree (MSM-T) [K. P. Bennett, "Decision Tree Construction Via Linear Programming." Proceedings of the 4th Midwest Artificial Intelligence and Cognitive Science Society, pp. 97-101, 1992], a classification method which uses linear programming to construct a decision tree. Relevant features were selected using an exhaustive search in the space of 1-4 features and 1-3 separating planes. The actual linear program used to obtain the separating plane in the 3-dimensional space is that described in: [K. P. Bennett and O. L. Mangasarian: "Robust Linear Programming Discrimination of Two Linearly Inseparable Sets", Optimization Methods and Software 1, 1992, 23-34]. This database is also available through the UW CS ftp server: ftp ftp.cs.wisc.edu cd math-prog/cpo-dataset/machine-learn/WDBC/
Has Missing Values
Symbol: 0
Features
Attribute Name | Role | Type | Description | Units | Missing Values |
---|---|---|---|---|---|
ID | ID | Categorical | false | ||
Diagnosis | Target | Categorical | false | ||
radius1 | Feature | Continuous | false | ||
texture1 | Feature | Continuous | false | ||
perimeter1 | Feature | Continuous | false | ||
area1 | Feature | Continuous | false | ||
smoothness1 | Feature | Continuous | false | ||
compactness1 | Feature | Continuous | false | ||
concavity1 | Feature | Continuous | false | ||
concave_points1 | Feature | Continuous | false |
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Baseline Model Performance
Wolberg,William, Mangasarian,Olvi & Street,Nick. (1995). Breast Cancer Wisconsin (Diagnostic). UCI Machine Learning Repository. https://doi.org/10.24432/C5DW2B.
@misc{misc_breast_cancer_wisconsin_(diagnostic)_17, author = {Wolberg,William, Mangasarian,Olvi & Street,Nick}, title = {{Breast Cancer Wisconsin (Diagnostic)}}, year = {1995}, howpublished = {UCI Machine Learning Repository}, note = {{DOI}: \url{10.24432/C5DW2B}} }
Keywords
Creators
William Wolberg
Olvi Mangasarian
Nick Street
DOI
License
This dataset is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
This allows for the sharing and adaptation of the datasets for any purpose, provided that the appropriate credit is given.