TPS 13
- Due Apr 7, 2020 by 2pm
- Points 1
- Submitting a file upload
- Available after Apr 6, 2020 at 2pm
Consider a data set about employees at a company (each row corresponds to one employee):
PTO days taken | Last review score | Average review score | Years with the company | Left company |
10 | 3 | 3.5 | 2 | 1 |
2 | 9 | 8 | 10 | 0 |
... | ... | ... | ... | ... |
Suppose we want to create a model that predicts whether an employee that is not part of this dataset will leave the company or not (assume the same data is collected about hat employee). Answer these questions:
- What are the observations?
- What are the features?
- What is the class label?
Spend about 5 minutes on your own thinking through a solution without looking up any material and write it down either in an electronic document (Google Doc, Word, etc.) or on a piece of paper. After the 5 minutes is up, share what you have with your group members. If a revision is necessary, add it as a new section to your document or paper. Upload your document or an image of your paper to this Canvas assignment.
Please keep in mind that you will not be graded based on correctness but on effort. Trust me that it is more helpful in terms of knowledge retention for you to 1) not look at notes while doing the TPS and 2) only look at the solution after you have submitted.
After you have submitted, see this video for solutions.