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Why retrain on train + validation after evaluating a model? (Kaggle)

I was working on a Kaggle competition when I came across a solution where the author fits the model on the train set and evaluates it on the validation set. If the new model beats the previous benchmark, they retrain it on the full dataset (train + validation). I was surprised, because I thought th…

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Timeline · 2 reports

  1. 2026-10-12 20:58 · r/MLQuestions
    Why retrain on train + validation after evaluating a model? (Kaggle)
  2. 2026-10-12 20:57 · r/learnmachinelearning
    Why retrain on train + validation after evaluating a model? (Kaggle)

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