Information Technology > QUESTIONS & ANSWERS > Georgia Institute Of Technology ISYE 6501 Homework 7 Complete Solutions - Introduction To Analytics (All)
Question 1 Using the same crime data set as in Homework 5 Question 2, find the best model you can using (a) a regression tree model, and (b) a random forest model. In R, you can use the tree package... or the rpart package, and the randomForest package. For each model, describe one or two qualitative takeaways you get from analyzing the results (i.e., don’t just stop when you have a good model, but interpret it too). Question 2 Describe a situation or problem from your job, everyday life, current events, etc., for which a logistic regression model would be appropriate. List some (up to 5) predictors that you might use. Question 3 1. Using the GermanCredit data set at http://archive.ics.uci.edu/ml/machine-learningdatabases/statlog/german / (description at http://archive.ics.uci.edu/ml/datasets/Statlog+%28German+Credit+Data%29 ), use logistic regression to find a good predictive model for whether credit applicants are good credit risks or not. Show your model (factors used and their coefficients), the software output, and the quality of fit. You can use the glm function in R. To get a logistic regression (logit) model on data where the response is either zero or one, use family=binomial(link=”logit”) in your glm function call. [Show More]
Last updated: 1 year ago
Preview 1 out of 6 pages
Connected school, study & course
About the document
Uploaded On
May 13, 2022
Number of pages
6
Written in
This document has been written for:
Uploaded
May 13, 2022
Downloads
0
Views
80
In Browsegrades, a student can earn by offering help to other student. Students can help other students with materials by upploading their notes and earn money.
We're available through e-mail, Twitter, Facebook, and live chat.
FAQ
Questions? Leave a message!
Copyright © Browsegrades · High quality services·