{"id":2306,"date":"2025-06-11T10:38:05","date_gmt":"2025-06-11T05:08:05","guid":{"rendered":"https:\/\/texpertssolutions.com\/notes\/?p=2306"},"modified":"2026-10-21T11:48:56","modified_gmt":"2026-10-21T06:18:56","slug":"what-happens-if-the-validation-and-test-datasets-are-the-same-size","status":"publish","type":"post","link":"https:\/\/texpertssolutions.com\/notes\/2025\/06\/11\/what-happens-if-the-validation-and-test-datasets-are-the-same-size\/","title":{"rendered":"Can Validation and Test Datasets Be the Same Size?"},"content":{"rendered":"\n

\ud83d\ude4c Let\u2019s explain what happens if the validation and test datasets are the same size<\/strong> \u2014 in a simple way<\/p>\n\n\n\n

\u2696\ufe0f Can Validation and Test Sets Be the Same Size?<\/h3>\n\n\n\n

Yes, they can be the same size<\/strong> \u2014 but it’s not about size<\/strong>, it’s about purpose<\/strong> \ud83c\udfaf<\/p>\n\n\n\n

So, even if they have the same number of samples<\/strong>, their roles are very different<\/strong>:<\/p>\n\n\n\n

\n\n\n\n

\ud83e\uddea Validation Set \u2013 What\u2019s It For?<\/h3>\n\n\n\n
    \n
  • Used during training<\/strong><\/li>\n\n\n\n
  • Helps you tune<\/strong> the model and make choices (like stopping early or changing learning rate)<\/li>\n\n\n\n
  • It\u2019s like a practice test<\/strong> \ud83d\udcdd<\/li>\n<\/ul>\n\n\n\n
    \n\n\n\n

    \ud83c\udf93 Test Set \u2013 What\u2019s It For?<\/h3>\n\n\n\n
      \n
    • Used after training is completely done<\/strong> \u2705<\/li>\n\n\n\n
    • It gives you the final score<\/strong><\/li>\n\n\n\n
    • No changes should be made based on test results \u274c\ud83d\udd27<\/li>\n\n\n\n
    • It\u2019s like the final exam<\/strong> \ud83c\udf93<\/li>\n<\/ul>\n\n\n\n
      \n\n\n\n

      \ud83e\udd14 What If They’re the Same Size?<\/h3>\n\n\n\n

      That\u2019s totally fine! \u2705<\/p>\n\n\n\n

      Let\u2019s say you split your data like this:<\/p>\n\n\n\n

        \n
      • 60% \u27a1\ufe0f Training \ud83e\udde0<\/li>\n\n\n\n
      • 20% \u27a1\ufe0f Validation \ud83e\uddea<\/li>\n\n\n\n
      • 20% \u27a1\ufe0f Test \ud83c\udf93<\/li>\n<\/ul>\n\n\n\n

        Here, validation and test are equal in size<\/strong>, and that\u2019s perfectly okay! \ud83d\udc4c<\/p>\n\n\n\n

        \n\n\n\n

        \ud83d\udeab What You Should NOT Do<\/h3>\n\n\n\n

        Here\u2019s the danger \u2757<\/p>\n\n\n\n

          \n
        • Don\u2019t use the same dataset<\/strong> for both validation and test.
          \u27a4 That would give you a false sense of performance<\/strong> \ud83d\ude2c
          \u27a4 Your model would \u201cpeek\u201d at the answers!<\/li>\n<\/ul>\n\n\n\n

          \ud83d\udcdb Same data \u2795 used for both validation & test = \u274c Bad idea<\/p>\n\n\n\n

          \n\n\n\n

          \ud83e\udde0 Summary<\/h3>\n\n\n\n
          \u2705 Okay<\/th>\u274c Not Okay<\/th><\/tr><\/thead>
          Validation & Test same size<\/strong><\/td>Validation & Test are the same data<\/strong><\/td><\/tr>
          Each used for different purpose<\/td>Using test set during training<\/td><\/tr>
          Helps with balance and fairness \u2696\ufe0f<\/td>Hurts your model’s honesty \ud83d\ude48<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n
          \n\n\n\n

          <\/p>\n","protected":false},"excerpt":{"rendered":"

          \ud83d\ude4c Let\u2019s explain what happens if the validation and test datasets are the same size \u2014 in a simple way \u2696\ufe0f Can Validation and Test Sets Be the Same Size? Yes, they can be the same size \u2014 but it’s not about size, it’s about purpose \ud83c\udfaf So, even if they have the same number…<\/p>\n","protected":false},"author":1,"featured_media":2356,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[641],"tags":[],"class_list":["post-2306","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-machine-learning"],"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\t\n\t\t