Example: Wisconsin Breast Cancer Database

Context

• The Wisconsin Breast Cancer Database is a well-known dataset for evaluating machine-learned predictive models.
• This data was obtained from Dr. William H. Wolberg at the University of Wisconsin Hospitals, Madison.
• You can find a detailed discussion of this example in Chapter 6 of our ebook.

Datasets & Network Files

WBCD.csv (opens in a new tab)

WBCD.xbl (opens in a new tab)

References

1. O. L. Mangasarian and W. H. Wolberg: "Cancer diagnosis via linear programming", SIAM News, Volume 23, Number 5, September 1990, pp 1 & 18.
2. William H. Wolberg and O.L. Mangasarian: "Multisurface method of pattern separation for medical diagnosis applied to breast cytology", Proceedings of the National Academy of Sciences, U.S.A., Volume 87, December 1990, pp 9193-9196.
3. O. L. Mangasarian, R. Setiono, and W.H. Wolberg: "Pattern recognition via linear programming: Theory and application to medical diagnosis", in: "Large-scale numerical optimization", Thomas F. Coleman and Yuying Li, editors, SIAM Publications, Philadelphia 1990, pp 22-30.
4. K. P. Bennett & O. L. Mangasarian: "Robust linear programming discrimination of two linearly inseparable sets", Optimization Methods and Software 1, 1992, 23-34 (Gordon & Breach Science Publishers).