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Do you slice your training data to evaluate how well it generalizes for different subsets of your data? - General Discussion - Build with Google AI

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Do you try to measure fairness or accuracy for different subsets of your users or use-cases?" /> <meta property="og:article:section" content="TensorFlow" /> <meta property="og:article:section:color" content="f66f00" /> <meta property="og:article:section" content="General Discussion" /> <meta property="og:article:section:color" content="f2a346" /> <meta property="og:article:tag" content="community_support" /> <meta property="og:article:tag" content="tfx" /> <meta property="og:article:tag" content="ml_ops" /> <meta name="twitter:label1" value="Reading time" /> <meta name="twitter:data1" value="1 mins 🕑" /> <meta name="twitter:label2" value="Likes" /> <meta name="twitter:data2" value="2 ❤" /> <meta property="article:published_time" content="2021-02-09T01:05:12+00:00" /> <meta property="og:ignore_canonical" content="true" /> </head> <body class="crawler browser-update"> <header> <a href="/"> Build with Google AI </a> </header> <div id="main-outlet" class="wrap" role="main"> <div id="topic-title"> <h1> <a href="/t/do-you-slice-your-training-data-to-evaluate-how-well-it-generalizes-for-different-subsets-of-your-data/29762">Do you slice your training data to evaluate how well it generalizes for different subsets of your data?</a> </h1> <div class="topic-category" itemscope itemtype="http://schema.org/BreadcrumbList"> <span itemprop="itemListElement" itemscope itemtype="http://schema.org/ListItem"> <a href="/c/tensorflow/general-discussion-6/37" class="badge-wrapper bullet" itemprop="item"> <span class='badge-category-bg' style='background-color: #f66f00'></span> <span class='badge-category clear-badge'> <span class='category-name' itemprop='name'>TensorFlow</span> </span> </a> <meta itemprop="position" content="1" /> </span> <span itemprop="itemListElement" itemscope itemtype="http://schema.org/ListItem"> <a href="/c/tensorflow/general-discussion-6/37" class="badge-wrapper bullet" itemprop="item"> <span class='badge-category-bg' style='background-color: #f2a346'></span> <span class='badge-category clear-badge'> <span class='category-name' itemprop='name'>General Discussion</span> </span> </a> <meta itemprop="position" content="2" /> </span> </div> <div class="topic-category"> <div class='discourse-tags list-tags'> <a href='https://discuss.ai.google.dev/tag/community_support' class='discourse-tag' rel="tag">community_support</a>, <a href='https://discuss.ai.google.dev/tag/tfx' class='discourse-tag' rel="tag">tfx</a>, <a href='https://discuss.ai.google.dev/tag/ml_ops' class='discourse-tag' rel="tag">ml_ops</a> </div> </div> </div> <div itemscope itemtype='http://schema.org/DiscussionForumPosting'> <meta itemprop='headline' content='Do you slice your training data to evaluate how well it generalizes for different subsets of your data?'> <link itemprop='url' href='https://discuss.ai.google.dev/t/do-you-slice-your-training-data-to-evaluate-how-well-it-generalizes-for-different-subsets-of-your-data/29762'> <meta itemprop='datePublished' content='2021-02-09T01:05:12Z'> <meta itemprop='articleSection' content='General Discussion'> <meta itemprop='keywords' content='community_support, tfx, ml_ops'> <div itemprop='publisher' itemscope itemtype="http://schema.org/Organization"> <meta itemprop='name' content='Build with Google AI'> <div itemprop='logo' itemscope itemtype="http://schema.org/ImageObject"> <meta itemprop='url' content='https://canada1.discourse-cdn.com/googleaitrial/original/1X/9c9b743566b5ef0d0701ebba72bf83038f42ea0b.png'> </div> </div> <div id='post_1' class='topic-body crawler-post'> <div class='crawler-post-meta'> <span class="creator" itemprop="author" itemscope itemtype="http://schema.org/Person"> <a itemprop="url" href='https://discuss.ai.google.dev/u/robertcrowe'><span itemprop='name'>robertcrowe</span></a> </span> <link itemprop="mainEntityOfPage" href="https://discuss.ai.google.dev/t/do-you-slice-your-training-data-to-evaluate-how-well-it-generalizes-for-different-subsets-of-your-data/29762"> <span class="crawler-post-infos"> <time datetime='2021-02-09T01:05:12Z' class='post-time'> February 9, 2021, 1:05am </time> <meta itemprop='dateModified' content='2024-11-21T04:42:50Z'> <span itemprop='position'>1</span> </span> </div> <div class='post' itemprop='text'> <p>How deep do you get into evaluating your model performance? Do you slice your data and evaluate the slices? Do you try to measure fairness or accuracy for different subsets of your users or use-cases?</p> </div> <div itemprop="interactionStatistic" itemscope itemtype="http://schema.org/InteractionCounter"> <meta itemprop="interactionType" content="http://schema.org/LikeAction"/> <meta itemprop="userInteractionCount" content="2" /> <span class='post-likes'>2 Likes</span> </div> </div> </div> <div id="related-topics" class="more-topics__list " role="complementary" aria-labelledby="related-topics-title"> <h3 id="related-topics-title" class="more-topics__list-title"> Related topics </h3> <div class="topic-list-container" itemscope itemtype='http://schema.org/ItemList'> <meta itemprop='itemListOrder' content='http://schema.org/ItemListOrderDescending'> <table class='topic-list'> <thead> <tr> <th>Topic</th> <th></th> <th class="replies">Replies</th> <th class="views">Views</th> <th>Activity</th> </tr> </thead> <tbody> <tr class="topic-list-item" id="topic-list-item-26395"> <td class="main-link" itemprop='itemListElement' itemscope itemtype='http://schema.org/ListItem'> <meta itemprop='position' content='1'> <span class="link-top-line"> <a itemprop='url' href='https://discuss.ai.google.dev/t/fx-toy-project-bert-as-a-service/26395' class='title raw-link raw-topic-link'>FX toy project (BERT as a service)</a> </span> <div class="link-bottom-line"> <a href='/c/tensorflow/show-tell/30' class='badge-wrapper bullet'> <span class='badge-category-bg' style='background-color: #5bbae1'></span> <span class='badge-category clear-badge'> <span class='category-name'>Show and Tell</span> </span> </a> <div class="discourse-tags"> <a href='https://discuss.ai.google.dev/tag/tfx' class='discourse-tag'>tfx</a> ,&nbsp; 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