The Final Exam (exam 3) includes the following modules:

The Final Exam (exam 3) includes the following modules:

Module 8: Neural networks
Module 9: Classification and Regression Trees
Module 10: Cluster Analysis
Module 11: Association Rules.
There will be about 24 questions on the exam, and you have 100 minutes to solve the questions. You should have access to Excel and Analytics solver (XLMiner – the software that we use in class) on your computer.

Please review Module 8 to 11 (slides and lectures) and In-class problems 7 to 10.

Similar to other exams, I prepared a sample exam. I recorded my solution to the exam. Please solve the sample exam and then watch the video.

Exam 3 Tips:

Be sure to make sure you have the right data selected.
If you get an error, check your data range, in some cases you might need to exclude categorical variables.
If XL Miner is giving you issues, close the file and open again and retry.
Make sure you understand what success class you are targeting, you may target weak or strong classes.
For Cluster Analysis, your summary that gives you average distances might be on a different tab in the workbook, search all the tabs.
For Cluster analysis, if I ask you to tell me which cluster a specific record belongs to, take note of the record number to find which cluster that record belongs to.
If you have a mac, you may need to click on “Charts” and look for minimum tree to find the tree.
I may ask you questions related to the last 2 lectures as extra credit questions. Associations Rules and Clustering
Sample exam:

I need you to log into my canvas and take my non-proctored data mining exam. The walkthrough is in the modules as well to help you out.