Part II. Short-Answer Questions.  Problem II. Questions 20-25: Unsupervised learning: Iris Case for Clustering. Unsupervised learning: Seed Data for Clustering. Please answer each question and copy/paste all your R code in the end. Load Seed data as in our Lab 10 Unsupervised Learning: Clustering. Please make sure that you have installed the R package “fpc” and “factoextra”. seed

Questions 10-11 are referring to the lecture output on gam() model fit on the full Boston data. 10. In the line for “s(indus)”, what do you conclude from p-value =5.11e-5?

14. Neural Network is  

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.)        

Which of the following best defines secondary prevention in healthcare?

Refer to the lab output on neural network model fits on the bankruptcy data. https://yanyudm.github.io/Data-Mining-R/lecture/9.A_NeuralNet.html We now 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) Note that in the output layer, there is only ONE class where DLRSN (deletion reason)=1 is bankruptcy, and DLRSN=0 is nonbankruptcy as a reference class. How many parameters are involved for the neural network model with “hidden=c(5)”?

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

A nurse is assessing a community with higher rates of disease than the surrounding communities. Which of the following are potential causes of health disparities?  Select the 5 correct answers.

Match Erikson’s Stages of Development with the correct age range.

Which of the following statements best describes a key principle of end-of-life care?