wisconsin: Imbalanced binary breast cancer Wisconsin dataset
In imbalance: Preprocessing Algorithms for Imbalanced Datasets
Description
Usage
Format
Source
See Also
Description
Binary class dataset containing traits about patients with cancer. Original dataset was
obtained from the University of Wisconsin Hospitals, Madison from Dr. William H. Wolberg.
Usage
1
Format
A data frame with 683 instances, 239 of which belong to positive class,
and 10 variables:
- ClumpThickness
Discrete attribute.
- CellSize
Discrete attribute.
- CellShape
Discrete attribute.
- MarginalAdhesion
Discrete attribute.
- EpithelialSize
Discrete attribute.
- BareNuclei
Discrete attribute.
- BlandChromatin
Disrete attribute.
- NormalNucleoli
Discrete attribute.
- Mitoses
Discrete attribute.
- Class
Two possible classes: positive (cancer) and negative (not cancer).
Source
See Also
Original available in UCI ML Repository.
imbalance documentation built on April 14, 2020, 6:02 p.m.
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Description Usage Format Source See Also
Description
Binary class dataset containing traits about patients with cancer. Original dataset was obtained from the University of Wisconsin Hospitals, Madison from Dr. William H. Wolberg.
Usage
1 |
Format
A data frame with 683 instances, 239 of which belong to positive class, and 10 variables:
- ClumpThickness
Discrete attribute.
- CellSize
Discrete attribute.
- CellShape
Discrete attribute.
- MarginalAdhesion
Discrete attribute.
- EpithelialSize
Discrete attribute.
- BareNuclei
Discrete attribute.
- BlandChromatin
Disrete attribute.
- NormalNucleoli
Discrete attribute.
- Mitoses
Discrete attribute.
- Class
Two possible classes: positive (cancer) and negative (not cancer).
Source
See Also
Original available in UCI ML Repository.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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