Robin lost the softball game for her team when she ran towar…

Robin lost the softball game for her team when she ran toward home and was thrown out at the plate. The coach asked her, “Why did you run? You knew it was a risky move.” Robin replied, “But I heard you yell, ‘Go! Go!’” The coach replied, “I was saying, ‘No! No!’” Robin’s ill-fated run was the result of a

13. Refer to the lecture output on neural network model fits…

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 mean…

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.