The breast cancer data set breast-cancer-wisconsin.data.txt from
http://archive.ics.uci.edu/ml/machine–learning–databases/breast–cancer–wisconsin/ (description at http://archive.ics.uci.edu/ml/datasets/Breast+Cancer+Wisconsin+%28Original%29 ) has missing values.
- Use the mean/mode imputation method to impute values for the missing data.
- Use regression to impute values for the missing data.
- Use regression with perturbation to impute values for the missing data.
- (Optional) Compare the results and quality of classification models (e.g., SVM, KNN) build using
- the data sets from questions 1,2,3;
- the data that remains after data points with missing values are removed; and (3) the data set when a binary variable is introduced to indicate missing values.
Question 15.1
Describe a situation or problem from your job, everyday life, current events, etc., for which optimization would be appropriate. What data would you need?
