breastw {dprep} | R Documentation |
This is the Breast Wisconsin dataset from the UCI Machine Learning Repository. This dataset has 699 instances, sixteen of them with missing values, 9 predictor attributes and one class attribute assuming values 1(benign tumor) and 2(malign tumor).
data(breastw)
A data frame with 699 observations on the following 10 variables.
Clump Thickness
Uniformity of Cell Size
Uniformity of Cell Shape
Marginal Adhesion
Single Epithelial Cell Size
Bare Nuclei
Bland Chromatin
Normal Nucleoli
Mitoses
Class: 1 for benign, 2 for Malign
All the features assume values in the range 1-10. The dataset contains 699 observations with 16 of them having missing values. It is recommended to impute these values been before further analysis.
The UCI Machine Learning Database Repository at:
#Detecting outliers in class-1 using the LOF algorithms--- data(breastw) ce.impute(breastw,"mean",1:9)