Improving Employer Outcomes: Supervised Learning to Predict Hiring Success
PublicDownloadable Content
open in viewerWorcester Polytechnic InstituteÂs (WPI) Career Development Center (CDC) wishes to understand what activities are most influential to a companyÂs success in hiring talent from WPI.NOur team analyzed data provided by the CDC about online job postings, on-campus interviews, information sessions, and career fair attendance along with information about student outcomes after graduation to determine what contributed most significantly to employers success. Because we wanted to be "fair" to companies in our predictions, we decided to minimize mean squared relative (percent) error, rather than traditional mean squared error. This required us to develop a regression tree completely from scratch to then use in random forest regression.
- This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.
- Creator
- Publisher
- Identifier
- E-project-042318-185707
- Advisor
- Year
- 2018
- Date created
- 2018-04-23
- Location
- Worcester
- Resource type
- Major
- Rights statement
Relations
- In Collection:
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improving-employer-outcomes.pdf | Public | Download |
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