breastcancer | R Documentation |
32 features of cell nuclei present in digitized images of fine needle aspirates of 212 malignant and 357 benign breast masses.
breastcancer
A data frame with 569 rows and 32 variables. The first two variables are id and diagnosis, and then the mean, standard error, and "worst" or largest (mean of the three largest values) for each of ten features are reported as follows:
ID number
Diagnosis (M = malignant, B = benign)
Mean of mean distances from center to points on the perimeter
Mean of standard deviation of gray-scale values
Mean of perimeter
Mean of area
Mean of local variation in radius lengths
Mean of perimeter^2 / area - 1.0
Mean of severity of concave portions of the contour
Mean of number of concave portions of the contour
Mean of symmetry
Mean of "coastline approximation" - 1
Standard error of mean distances from center to points on the perimeter
Standard error of standard deviation of gray-scale values
Standard error of perimeter
Standard error of area
Standard error of local variation in radius lengths
Standard error of perimeter^2 / area - 1.0
Standard error of severity of concave portions of the contour
Standard error of number of concave portions of the contour
Standard error of symmetry
Standard error of "coastline approximation" - 1
"Worst" or largest (mean of the three largest values) of mean distances from center to points on the perimeter
"Worst" or largest (mean of the three largest values) of standard deviation of gray-scale values
"Worst" or largest (mean of the three largest values) of perimeter
"Worst" or largest (mean of the three largest values) of area
"Worst" or largest (mean of the three largest values) of local variation in radius lengths
"Worst" or largest (mean of the three largest values) of perimeter^2 / area - 1.0
"Worst" or largest (mean of the three largest values) of severity of concave portions of the contour
"Worst" or largest (mean of the three largest values) of number of concave portions of the contour
"Worst" or largest (mean of the three largest values) of symmetry
"Worst" or largest (mean of the three largest values) of "coastline approximation" - 1
All feature values are recoded with four significant digits.
Wolberg,William. (1992). Breast Cancer Wisconsin (Original). UCI Machine Learning Repository. https://doi.org/10.24432/C5HP4Z.
Obtained from the UC Irvine Machine Learning Repository: https://archive.ics.uci.edu/dataset/15/breast+cancer+wisconsin+original
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