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[FAQ Bot] NEW: Why do we combine the training and validation datasets before evaluating - #438

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@github-actions github-actions Bot commented Oct 5, 2026

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✨ FAQ NEW

Course: machine-learning-zoomcamp
Section: module-4 (This is part of the model selection/evaluation framework used in the ML classification workflow, which best matches the classification-oriented module rather than generic tooling or course logistics.)
Related Issue: #436

Question

Why do we combine the training and validation datasets before evaluating the final model on the test dataset?

Decision Rationale

The proposed question explains the rationale for combining training and validation sets after selecting a final model, and existing FAQs cover related but different topics (dataset leakage during vectorization, combining dataframes in general).

Placement Details

  • Section ID: module-4
  • Sort Order: End of section
  • Filename Slug: combine-train-and-validation-before-test-eval

🤖 Generated by FAQ Bot

Closes #436

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[FAQ] Why do we combine the training and validation datasets before the final test?

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