Enhancing Model Robustness through Synthetic Data Testing

Create synthetic datasets representing diverse employee profiles and edge cases to test the retention model’s behavior under varied scenarios. This helps detect hidden biases and assess whether the model generalizes well across different population segments without unfair treatment.

Create synthetic datasets representing diverse employee profiles and edge cases to test the retention model’s behavior under varied scenarios. This helps detect hidden biases and assess whether the model generalizes well across different population segments without unfair treatment.

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Retention Forecasting Models for Diverse Tech Talent

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