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Predicting user churn rate of a subscription based healthcare plan
| Nome: | Descrição: | Tamanho: | Formato: | |
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| 2.68 MB | Adobe PDF |
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Resumo(s)
Plano +CUF is a subscription-based healthcare plan created by CUF Hospitais e Clínicas. The
goal of this project is to create a model to predict client churn from this healthcare plan. A
reliable predictive model can help CUF create actions to prevent churn and avoid clients from
abandoning the service. If these actions are effective, then CUF can retain clients and prevent
a potential loss. From model results and feature importance analysis, many “churning” clients
could be detected and the main indicator that a client is going to churn is when it stops using
the plan and its benefits.
Descrição
Palavras-chave
Churn Machine learning Predictive model Healthcare Subscription-based