{"id":2311,"date":"2025-06-11T10:44:00","date_gmt":"2025-06-11T05:14:00","guid":{"rendered":"https:\/\/texpertssolutions.com\/notes\/?p=2311"},"modified":"2025-06-26T14:53:57","modified_gmt":"2025-06-26T09:23:57","slug":"what-happen-if-my-train-and-validation-dataset-are-same-size","status":"publish","type":"post","link":"https:\/\/texpertssolutions.com\/notes\/2025\/06\/11\/what-happen-if-my-train-and-validation-dataset-are-same-size\/","title":{"rendered":"What happen if my train and validation dataset are same size?"},"content":{"rendered":"\n<p>Let&#8217;s talk about what happens if your <strong>training and validation datasets are the same size<\/strong> \u2014 in a clear, and simple way<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">\u2705 Can Train and Validation Be the Same Size?<\/h3>\n\n\n\n<p>Yes, absolutely! \ud83d\udcaf<\/p>\n\n\n\n<p>It\u2019s <strong>totally okay<\/strong> if your <strong>training set<\/strong> and <strong>validation set<\/strong> have the <strong>same number of samples<\/strong> \u2014 as long as they are made of <strong>different data<\/strong> \ud83d\udff0\ud83d\udcc1\ud83d\udcc1<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">\ud83c\udfaf Example:<\/h3>\n\n\n\n<p>Let\u2019s say you have 10,000 total samples:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\ud83e\udde0 <strong>Training Set<\/strong> = 5,000 samples<\/li>\n\n\n\n<li>\ud83e\uddea <strong>Validation Set<\/strong> = 5,000 samples<\/li>\n<\/ul>\n\n\n\n<p>\u27a1\ufe0f Same size? \u2705 No problem<br>\u27a1\ufe0f Same data? \u274c Big problem<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">\ud83d\udd0d What Really Matters?<\/h3>\n\n\n\n<p>\u2705 <strong>Data in training and validation sets should be different.<\/strong><br>They must not overlap \u2014 or else your model will get confused and your validation results will lie \ud83d\ude35\u200d\ud83d\udcab<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">\ud83e\udde0 Why Validation Size Matters Less Than Separation<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Purpose of validation<\/strong>: to <strong>check how well your model is learning<\/strong> on <strong>unseen data<\/strong> \ud83d\udcc9<\/li>\n\n\n\n<li>So, the <strong>amount<\/strong> of data isn\u2019t as important as <strong>having fresh, clean data it hasn&#8217;t seen<\/strong><\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">\ud83d\udeab What You Shouldn\u2019t Do<\/h3>\n\n\n\n<h4 class=\"wp-block-heading\">\u274c Using the <strong>same data<\/strong> for both training and validation<\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li>It\u2019s like testing yourself using the same questions you studied \ud83d\udcdd\u2795\ud83d\udcd8<\/li>\n\n\n\n<li>Your model might look great \ud83d\ude0e but fail on real-world data \ud83d\ude22<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">\ud83d\udccf How to Choose Sizes? (General Rule)<\/h3>\n\n\n\n<p>A typical data split looks like this:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>80% training<\/strong> \ud83e\udde0<\/li>\n\n\n\n<li><strong>10%\u201320% validation<\/strong> \ud83e\uddea<\/li>\n\n\n\n<li><strong>10% test<\/strong> \ud83c\udf93<\/li>\n<\/ul>\n\n\n\n<p>But if your dataset is small, 50\/50 (train\/val) is okay too! Just keep the data <strong>separate<\/strong> \ud83d\udd00<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">\u2705 Summary<\/h3>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th>Question<\/th><th>Answer<\/th><\/tr><\/thead><tbody><tr><td>Can train &amp; validation be <strong>same size<\/strong>?<\/td><td>\u2705 Yes, totally fine<\/td><\/tr><tr><td>Can they use the <strong>same data<\/strong>?<\/td><td>\u274c No, that ruins evaluation<\/td><\/tr><tr><td>Will same size affect learning?<\/td><td>\u274c Not really \u2014 size \u2260 quality<\/td><\/tr><tr><td>Is different data more important?<\/td><td>\u2705 Yes! Data must be <strong>separate<\/strong><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Let&#8217;s talk about what happens if your training and validation datasets are the same size \u2014 &hellip; <a title=\"What happen if my train and validation dataset are same size?\" class=\"hm-read-more\" href=\"https:\/\/texpertssolutions.com\/notes\/2025\/06\/11\/what-happen-if-my-train-and-validation-dataset-are-same-size\/\"><span class=\"screen-reader-text\">What happen if my train and validation dataset are same size?<\/span>Read more<\/a><\/p>\n","protected":false},"author":1,"featured_media":2355,"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-2311","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-machine-learning"],"aioseo_notices":[],"jetpack_featured_media_url":"https:\/\/i0.wp.com\/texpertssolutions.com\/notes\/wp-content\/uploads\/2025\/06\/12.png?fit=1280%2C720&ssl=1","jetpack-related-posts":[],"jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/texpertssolutions.com\/notes\/wp-json\/wp\/v2\/posts\/2311","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/texpertssolutions.com\/notes\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/texpertssolutions.com\/notes\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/texpertssolutions.com\/notes\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/texpertssolutions.com\/notes\/wp-json\/wp\/v2\/comments?post=2311"}],"version-history":[{"count":2,"href":"https:\/\/texpertssolutions.com\/notes\/wp-json\/wp\/v2\/posts\/2311\/revisions"}],"predecessor-version":[{"id":2370,"href":"https:\/\/texpertssolutions.com\/notes\/wp-json\/wp\/v2\/posts\/2311\/revisions\/2370"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/texpertssolutions.com\/notes\/wp-json\/wp\/v2\/media\/2355"}],"wp:attachment":[{"href":"https:\/\/texpertssolutions.com\/notes\/wp-json\/wp\/v2\/media?parent=2311"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/texpertssolutions.com\/notes\/wp-json\/wp\/v2\/categories?post=2311"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/texpertssolutions.com\/notes\/wp-json\/wp\/v2\/tags?post=2311"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}