Diagnostic breast cancer (contaminated)

doi:doi:10.57702/u2yxdqnx

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

Original MetadataJSON
The json representation of the dataset with its distributions based on DCAT.
Explore
- Preview
- Download

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

DOI retrieved: December 16, 2024

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)