# Model insight

## Feature importance

Feature importance is a technique used to rank features based on their contribution to predicting customer churn. In this context, features are categorized into risk drivers, which are shown on the left in red, and retention drivers, displayed on the right in green. This categorization helps stakeholders understand which factors contribute to either increasing or decreasing the likelihood of churn. Additionally, features can be grouped in a dropdown menu according to the health breakdown segment, allowing for a more detailed analysis of how different factors impact various subsets of the customer base.

## Churn rate per health score

The churn rate per health score is visualized using a bar graph that highlights the percentage of customers who have churned, segmented according to the health scores they were assigned. Each bar represents the proportion of churned customers within a specific health score category, providing a clear view of how predictive accuracy varies across different health scores. This graph aims to illustrate the precision of the health scoring model by showing which scores accurately predict customer churn, enabling stakeholders to focus on high-risk groups that need targeted retention strategies.

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