breast_cancer | R Documentation |
The breast_cancer
Wisconsin data has 569 rows and 31 columns. The
first 30 variables report the features that are computed from a digitized
image of a fine needle aspirate (FNA) of a breast mass. They describe
characteristics of the cell nuclei present in the image. The last column
indicates the class labels (Benign = 0 or Malignant = 1).
breast_cancer
A data frame of 569 observations and 31 variables.
Wolberg, W., Mangasarian, O., Street, N., & Street, W. (1993). Breast Cancer Wisconsin (Diagnostic). UCI Machine Learning Repository. https://doi.org/10.24432/C5DW2B.
Street, W. N., Wolberg, W. H., & Mangasarian, O. L. (1993, July). Nuclear feature extraction for breast tumor diagnosis. In Biomedical image processing and biomedical visualization (Vol. 1905, pp. 861-870). SPIE.
data(breast_cancer)
summary(breast_cancer)
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