# Given imbalanced training data, how do you prevent overfitting?

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Source: https://www.aced.io/questions/3420/prevent-overfitting-imbalanced-training-data
Source observed: 2026-11-05T01:25:57.448Z
Last checked: 2026-11-05T01:25:57.448+00:00
Indexed: 2026-11-06T18:36:49.345+00:00

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# Given imbalanced training data, how do you prevent overfitting?

This is an Aced (formerly Exponent) interview question in the **Concept** category for **Machine Learning Engineer** roles, associated with **Amazon**. It asks how to prevent overfitting when training data is imbalanced.

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## Related questions

- [How do you handle imbalanced data?](https://www.aced.io/questions/3531/handle-imbalanced-data)
- [How do you avoid overfitting a model?](https://www.aced.io/questions/3450/avoid-overfitting-model)

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