Timeline for How to formulate a classification problem with time series element
Current License: CC BY-SA 3.0
4 events
| when toggle format | what | by | license | comment | |
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| Feb 8, 2017 at 13:34 | comment | added | Thanos | When you have a dominant, self-explanatory attribute such as the already usage of this service, the problem is that you may not know when a customer will start using a service. In this case, you might want to use Survival Analysis (but with an opposite modelling: "death" here meaning the "start" of using the service), which will give you the probability for a customer to start a service, also based on other attributes. | |
| Feb 7, 2017 at 17:44 | comment | added | Rishu | Thanks. I use almost similar approach to the one you mentioned. But one of the problems that I have faced with classification problems for this setup (for problems other than customer churn such whether customer will opt for a service) is that most important predictor is whether the person opted for service in the past or not. This defeats the purpose of modeling as few behavioral variables come significant | |
| Feb 7, 2017 at 11:11 | review | First posts | |||
| Feb 7, 2017 at 12:42 | |||||
| Feb 7, 2017 at 11:11 | history | answered | Thanos | CC BY-SA 3.0 |