You can take a look at the model used for estimating these churn rates in this repository
Viewing all customers
| ID | Churn risk | Age | Gender | Tenure (mo) | Usage freq. | Support calls | Payment delay (days) | Subscription | Contract | Total spend | Last interaction |
|---|---|---|---|---|---|---|---|---|---|---|---|
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