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Georgia Tech SYE 6501 - Homework 2 Jacob Wilson September 6, 2018, 100% Pass rate
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Georgia Tech SYE 6501 - Homework 2 Jacob Wilson September 6, 2018, 100% Pass rate Document Content and Description Below ISYE 6501 - Homework 2 Jacob Wilson September 6, 2018 Question 3.1(a) – KKNN with Cross Validation Answer: In this problem, I utilized the “caret” library and the train function with a “k knn” method to perform 10 -fold cross validation. The following is the results: The most accurate classification was at k=23 because the accuracy is the highest and the data is classified against the most neighbors, reducing the risk. After retraining the model with k=23, accuracy was 84.3%. RStudio Script: ges("kknn", repos="
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