ISYE-7406-OAN, Q1,Q2,QCH QUESTIONS WITH 100% CORRECT SOLUTIONS!!

Question 1 0 / 1 pts A classification problem belongs to Supervised learning Unsupervised learning Correct answer  Question 2 1 / 1 pts What is the main assumption of linear discriminant analysis (LDA) and quadratic discriminant analysis (QDA)? LDA and QDA assume that the p-dim component of X is multivariate normal LDA or QDA are nonparametric and thus do not make any parametric assumptions. Correct answer  Question 3 1 / 1 pts What is the main underlying assumption on Naive Bayes classifier? It assumes that each component of X is independent Gaussian or normally distributed. It assumes that each component of X is independent Bernoulli distributed. It assumes that different components of X are independent Poisson distributed. It assumes that different components of X are independent, but they can any parametric distributions. Correct answer  Question 4 1 / 1 pts What is the main difference between linear discriminant analysis (LDA) and Logistic regression? There are no differences as both are classification methods. They are mathematically equivalent and yield the same predictive results. Logistic regression is often more robust than LDA, since it does not make any assumption on the marginal distribution of X. Correct answer  Question 5 1 / 1 pts What is the optimization algorithm to solve the maximum likelihood estimator (MLE) in logistic regression in a general context? Gradient Descent Algorithm (first-order derivatives) Newton-Raphson Method (second-order derivatives) Wrong answer  Question 6 0 / 1 pts Assume that the data can be summarized in the following 2x2 table: 43 38 39 89 Suppose we fit to the simplest logistic regression model Find the maximum likelihood estimate of (round to the three digits in the form of either or - , depending on whether the value is positive or negative). -0.825 margin of error +/- 10% As shown in the lecture slides, when fitting the simplest logistic regression model to the data from the 2x2 table a b c d the estimated and the estimated (note that this is the natural logarithm with base . Wrong answer  Question 7 0 / 1 pts Assume that another student collects the data in the following 2x2 table: 90 20 39 52