Intro Analytics Modeling - ISYE-6501 Homework 10, Questions with accurate answers.

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Intro Analytics Modeling - ISYE-6501 Homework 10 Question 14.1 The breast cancer data set breast-cancer-wisconsin.data.txt. 1. Use the mean/mode imputation method to impute values for the missing ... data. 2. Use regression to impute values for the missing data. 3. Use regression with perturbation to impute values for the missing data 4. (Optional) Compare the results and quality of classification models (e.g., SVM, KNN) build using (1) the data sets from questions 1,2,3; (2) 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. Answers (R code and results ): 1-3 Examine the dataIntro Analytics Modeling - ISYE-6501 Homework 10 Question 14.1 The breast cancer data set breast-cancer-wisconsin.data.txt. 1. Use the mean/mode imputation method to impute values for the missing data. 2. Use regression to impute values for the missing data. 3. Use regression with perturbation to impute values for the missing data 4. (Optional) Compare the results and quality of classification models (e.g., SVM, KNN) build using (1) the data sets from questions 1,2,3; (2) 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. Answers (R code and results ): 1-3 Examine the data [Show More]

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