Information Technology > QUESTIONS & ANSWERS > Georgia Institute Of Technology ISYE 6501 Homework 2 Complete Solutions - Introduction To Analytics (All)
Question 3.1 Using the same data set...as in Question 2.2, use the ksvm or kknn function to find a good classifier: a) using cross-validation (do this for the k-nearest-neighbors model; SVM is opti... onal); and b) splitting the data into training, validation, and test data sets (pick either KNN or SVM; the other is optional). Question 4.1 Describe a situation or problem from your job, everyday life, current events, etc., for which a clustering model would be appropriate. List some (up to 5) predictors that you might use. Question 4.2 Use the R function kmeans to cluster the points as well as possible. Report the best combination of predictors, your suggested value of k, and how well your best clustering predicts flower type. [Show More]
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