Blog

13. Refer to the lecture output on neural network model fits on the bankruptcy data.   We fit a glm (model 1), neural network with “hidden=c(3)” (model 2), and neural network with “hidden=c(5)” (model 3) to the bankruptcy data.  We have 10 financial ratios as the predictors (X). The response (Y) is binary, 1=bankruptcy, 0=non-bankruptcy.read.csv(file = “https://yanyudm.github.io/Data-Mining-R/lecture/data/bankruptcy.csv”, header=T) For the full bankruptcy data, AUCs are 0.8786, 0.9015, 0.9043, respectively for models 1, 2, and 3. What is most appropriate to conclude?

Question 25:  Use the scaled data seed1scale, perform k means clustering analysis, with k=3, and draw the cluster plot using R function >fviz_cluster() in the R package “factoextra”. Please screenshot your figure here. If your “factoextra” package does not load well, you may use R function >plotcluster() in the R package “fpc” instead.

Part I. Multiple-Choice Questions. 1. Which of the following will result in the SAME answer? (Check ALL that apply. There may be MULTIPLE answers to this question.)

Question 23: Now scale your “seed1” data using function >scale() with mean 0 and standard deviation 1 and save the data to “seed1scale”. Please paste your line of R code here.

3. Which of following practices are considered as a REGRESSION problem with continuous response? (Check ALL that apply. There may be MULTIPLE answers for this question.)        

A public health nurse is teaching a group of community members about disaster management. Which of the following are phases of disaster management cycle that should be included in the discussion? Select all that apply.

Which of the following occurs during the third trimester of pregnancy? Select the four that apply.

3. Which of following practices are considered as a CLASSIFICATION problem? (Check ALL that apply. There may be MULTIPLE answers for this question.)     

Which of the following best defines secondary prevention in healthcare?

Questions 4-6 are referring to the lecture outputs on revisiting model comparison on the Boston housing data. For the Boston Housing data for regression, we obtained a comparison table as below for a linear regression and regression tree.    Which of the following statements is FALSE?