| breastcancer {HDSinRdata} | R Documentation |
Data from the Original Wisconsin Diagnostic Breast Cancer Database
Description
32 features of cell nuclei present in digitized images of fine needle aspirates of 212 malignant and 357 benign breast masses.
Usage
breastcancer
Format
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
ID number
- diagnosis
Diagnosis (M = malignant, B = benign)
- radius_mean
Mean of mean distances from center to points on the perimeter
- texture_mean
Mean of standard deviation of gray-scale values
- perimeter_mean
Mean of perimeter
- area_mean
Mean of area
- smoothness_mean
Mean of local variation in radius lengths
- compactness_mean
Mean of perimeter^2 / area - 1.0
- concavity_mean
Mean of severity of concave portions of the contour
- concave_points_mean
Mean of number of concave portions of the contour
- symmetry_mean
Mean of symmetry
- fractal_dimension_mean
Mean of "coastline approximation" - 1
- radius_se
Standard error of mean distances from center to points on the perimeter
- texture_se
Standard error of standard deviation of gray-scale values
- perimeter_se
Standard error of perimeter
- area_se
Standard error of area
- smoothness_se
Standard error of local variation in radius lengths
- compactness_se
Standard error of perimeter^2 / area - 1.0
- concavity_se
Standard error of severity of concave portions of the contour
- concave_points_se
Standard error of number of concave portions of the contour
- symmetry_se
Standard error of symmetry
- fractal_dimension_se
Standard error of "coastline approximation" - 1
- radius_worst
"Worst" or largest (mean of the three largest values) of mean distances from center to points on the perimeter
- texture_worst
"Worst" or largest (mean of the three largest values) of standard deviation of gray-scale values
- perimeter_worst
"Worst" or largest (mean of the three largest values) of perimeter
- area_worst
"Worst" or largest (mean of the three largest values) of area
- smoothness_worst
"Worst" or largest (mean of the three largest values) of local variation in radius lengths
- compactness_worst
"Worst" or largest (mean of the three largest values) of perimeter^2 / area - 1.0
- concavity_worst
"Worst" or largest (mean of the three largest values) of severity of concave portions of the contour
- concave_points_worst
"Worst" or largest (mean of the three largest values) of number of concave portions of the contour
- symmetry_worst
"Worst" or largest (mean of the three largest values) of symmetry
- fractal_dimension_worst
"Worst" or largest (mean of the three largest values) of "coastline approximation" - 1
All feature values are recoded with four significant digits.
Source
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