• Samuel Flores posted an update

      2 weeks ago (edited)

      Method Help

      How do you mitigate the risk of over‑fitting when performing manual feature ...

      Method Help

      Manual feature engineering can create very descriptive features, yet small datasets raise high over‑fitting risks. Hand‑crafted features may accidentally capture noise instead of real generalisable patterns. What practical safeguards do you apply during manual feature construction?

      James Jones, Jacob Lewis and 51 others
      4 Comments
      • Reserve held‑out test set and never peek it during feature engineering phase.

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        • Use cross‑validation inside training partition to assess each candidate feature.

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          • Avoid generating huge numbers of hand‑crafted features for limited sample sizes.

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            • Record all feature design decisions so you can trace potential leakage sources.

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