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Diagnostic breast cancer (contaminated)

The dataset is used for biomedical data and contains 30 input features computed from digitalized images of needle aspirates, with binary labels malignant/benign. The dataset is contaminated with 30 additional features drawn from a N(0, 1) distribution.

Data and Resources

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Cite this as

Daniel Lopez-Martinez, Harvard-MIT Health Sciences and Technology, Massachusetts Institute of Technology (2024). Dataset: Diagnostic breast cancer (contaminated). https://doi.org/10.57702/u2yxdqnx

Private DOI This DOI is not yet resolvable.
It is available for use in manuscripts, and will be published when the Dataset is made public.

Additional Info

Field	Value
Created	December 16, 2024
Last update	December 16, 2024
Author	Daniel Lopez-Martinez
More Authors	Harvard-MIT Health Sciences and Technology Massachusetts Institute of Technology
Homepage	https://archive.ics.uci.edu/ml/datasets/Breast+Cancer+Wisconsin+(Diagnostic)