Full Text Available
Note: Clicking the button above will open the full text document at the original institutional repository in a new window.
Using recency, frequency and monetary variables to predict customer lifetime value with XGBoost
CRM) will continue to gain prominence in the coming years. A commonly used CRM metric called Customer Lifetime Value (CLV) is the value a customer will contribute while they are an active customer. This study investigated the ability of supervised machine learning models constructed with XGBoost to...
Saved in:
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Thesis |
| Language: | English |
| Published: |
Department of Computer Science
2023
|
| Subjects: | |
| Tags: |
No Tags, Be the first to tag this record!
|
Be the first to leave a comment!