Publications by Brandi Rodriguez
Assignment #2
Chapter 3: 2,9,10,12 Question 2 Carefully explain the differences between the KNN classifier and KNN regression methods. KNN Classifier Method: used for solving classification problems where the response variable is qualitvative. It looks at the "k" number of nearest neighbors to estimate the probability of the predicted response. KNN Regression...
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Assignment #7
Chapter 8: 3,8,9 Question 3 Consider the Gini index, classification error, and entropy in a simple classification setting with two classes. Create a single plot that displays each of these quantities as a function of ^pm1. The xaxis should display ^pm1, ranging from 0 to 1, and the y-axis should display the value of the Gini index, classificatio...
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Assignment #4
Chapter 5: 3,5,6,9 Question 3 a. Explain how k-fold cross-validation is implemented K-Fold Cross-Validation can be implemented by dividing the dataset into K different parts and then removing the first part while fitting the model on the remaining K-1 parts of the data set. Then evaluate how good the predictions performed on the K part that was...
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Assignment #3
Chapter 4: 10,11,13 10.A Produce some numerical and graphical summaries of the Weekly data. Do there appear to be any patterns? The 'Weekly' data set contains weekly percentage returns for the S&P 500 stock index between 1990 and 2010. Year: the year the observation was recorded Lag1: Percentage return for previous week Lag2: Percentage return f...
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Assignment #5
Chapter 6: 2,9,11 Question 2 ** For parts (a) through (c), indicate which of i. through iv. is correct. Justify your answer.** A.) The lasso, relative to least squares, is: i. More flexible and hence will give improved prediction accuracy when its increase in bias is less than its decrease in variance. ii. More flexible and hence will give impro...
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Assignment #6
Chapter 7: 6, 10 Question 6 In this exercise, you will further analyze the Wage data set considered throughout this chapter. (a) Perform polynomial regression to predict wage using age. Use cross-validation to select the optimal degree for the polynomial. What degree was chosen, and how does this compare to the results of hypothesis testing usin...
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