mammography: Mammographic mass data set.
In DavidHofmeyr/spuds: Spectral Partitioning Using Density Separation
Description
Usage
Format
Source
References
Description
The data contain five attributes describing mammographic mass cases. One attribute is non-predictive, the others are age of patient and three simple physical characteristics of the masses. Classes are benign = 0 and malignant = 1.
Usage
1
Format
A list with entries $x (a 961x5 matrix with each row corresponding to an individual case) and $c (a vector of labels)
Source
UCI Machine Learning Repository.
References
Dheeru, D. and E. Karra Taniskidou (2017). UCI machine learning repository. https://archive.ics.uci.edu/ml
M. Elter, R. Schulz-Wendtland and T. Wittenberg (2007)
The prediction of breast cancer biopsy outcomes using two CAD approaches that both emphasize an intelligible decision process.
Medical Physics 34(11), pp. 4164-4172
DavidHofmeyr/spuds documentation built on May 20, 2019, 9:40 a.m.
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Description Usage Format Source References
Description
The data contain five attributes describing mammographic mass cases. One attribute is non-predictive, the others are age of patient and three simple physical characteristics of the masses. Classes are benign = 0 and malignant = 1.
Usage
1 |
Format
A list with entries $x (a 961x5 matrix with each row corresponding to an individual case) and $c (a vector of labels)
Source
UCI Machine Learning Repository.
References
Dheeru, D. and E. Karra Taniskidou (2017). UCI machine learning repository. https://archive.ics.uci.edu/ml
M. Elter, R. Schulz-Wendtland and T. Wittenberg (2007) The prediction of breast cancer biopsy outcomes using two CAD approaches that both emphasize an intelligible decision process. Medical Physics 34(11), pp. 4164-4172
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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