BreastCancer | R Documentation |
A dataset containing clinical measurements related to breast cancer cells, originally from the UCI Machine Learning Repository. It is often used for classification tasks.
data(BreastCancer)
A data frame with 699 rows and 11 variables:
Numeric. Sample code number.
Numeric. Clump thickness (1-10).
Numeric. Uniformity of cell size (1-10).
Numeric. Uniformity of cell shape (1-10).
Numeric. Marginal adhesion (1-10).
Numeric. Single epithelial cell size (1-10).
Numeric. Bare nuclei (1-10). Note: contains NAs in original dataset, may be preprocessed here.
Numeric. Bland chromatin (1-10).
Numeric. Normal nucleoli (1-10).
Numeric. Mitoses (1-10).
Character. Class of the tumor ("benign" or "malignant").
Dr. W. H. Wolberg, University of Wisconsin Hospitals
data(BreastCancer)
str(BreastCancer)
head(BreastCancer)
summary(BreastCancer$Cl.thickness)
table(BreastCancer$Class)
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