{"id":754,"date":"2022-06-16T18:10:53","date_gmt":"2022-06-16T16:10:53","guid":{"rendered":"https:\/\/kairntech.com\/doc\/?p=754"},"modified":"2025-08-01T16:23:01","modified_gmt":"2025-08-01T14:23:01","slug":"how-to-experiment-categorization-with-models-advanced","status":"publish","type":"post","link":"https:\/\/kairntech.com\/doc\/how-to-experiment-categorization-with-models-advanced\/","title":{"rendered":"How to experiment categorization with models (advanced)?"},"content":{"rendered":"\n<p>With a sufficient number of annotations available, the goal is to&nbsp;<strong>create and&nbsp;experiment with models<\/strong> with the help of pre-configured and state-of-the-art machine or deep learning algorithms. The models learn from existing annotations. Models need to be <strong>compared<\/strong> in order to select the best one for <strong>automating this task<\/strong> in the future on new documents.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Go to&nbsp;<em>Model experiments<\/em><strong>&nbsp;<\/strong>view<\/li>\n\n\n\n<li><a href=\"https:\/\/kairntech.com\/doc\/how-to-generate-train-and-test-metadata\/\" data-type=\"URL\" data-id=\"https:\/\/kairntech.com\/doc\/how-to-generate-train-and-test-metadata\/\">Split dataset<\/a>\n<ul class=\"wp-block-list\">\n<li>We recommend to generate train\/test metadata on the dataset to create train\/test datasets that can be easily be compared when using different experiments.&nbsp;<\/li>\n\n\n\n<li>Alternatively use the \u201cShuffle: true\u201d parameter. This parameter creates a random split at each training run. Changes in training success may then come from properties of these random splits, especially when the number of documents is small.<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li>Create a new experiment<\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"298\" src=\"https:\/\/kairntech.com\/doc\/wp-content\/uploads\/sites\/2\/2022\/06\/image-181-1024x298.png\" alt=\"\" class=\"wp-image-5469\" srcset=\"https:\/\/kairntech.com\/doc\/wp-content\/uploads\/sites\/2\/2022\/06\/image-181-1024x298.png 1024w, https:\/\/kairntech.com\/doc\/wp-content\/uploads\/sites\/2\/2022\/06\/image-181-300x87.png 300w, https:\/\/kairntech.com\/doc\/wp-content\/uploads\/sites\/2\/2022\/06\/image-181-768x223.png 768w, https:\/\/kairntech.com\/doc\/wp-content\/uploads\/sites\/2\/2022\/06\/image-181-1536x446.png 1536w, https:\/\/kairntech.com\/doc\/wp-content\/uploads\/sites\/2\/2022\/06\/image-181.png 1920w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Select the <strong>algorithm<\/strong> for the experiment<\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-image size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"590\" height=\"468\" src=\"https:\/\/kairntech.com\/doc\/wp-content\/uploads\/sites\/2\/2022\/06\/image-182.png\" alt=\"\" class=\"wp-image-5470\" style=\"width:387px;height:auto\" srcset=\"https:\/\/kairntech.com\/doc\/wp-content\/uploads\/sites\/2\/2022\/06\/image-182.png 590w, https:\/\/kairntech.com\/doc\/wp-content\/uploads\/sites\/2\/2022\/06\/image-182-300x238.png 300w\" sizes=\"auto, (max-width: 590px) 100vw, 590px\" \/><\/figure>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Set training and test parameters:\n<ul class=\"wp-block-list\">\n<li>We recommend to generate train\/test metadata on the dataset to create train\/test datasets that can be easily be compared when using different experiments.&nbsp;<\/li>\n\n\n\n<li>Alternatively use the \u201cShuffle: true\u201d parameter. This parameter creates a random split at each training run. Changes in training success may then come from properties of these random splits, especially when the number of documents is small.<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li>And adjust model parameters<\/li>\n\n\n\n<li>Save your model experiment in the top right corner<\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"462\" src=\"https:\/\/kairntech.com\/doc\/wp-content\/uploads\/sites\/2\/2022\/06\/image-183-1024x462.png\" alt=\"\" class=\"wp-image-5472\" srcset=\"https:\/\/kairntech.com\/doc\/wp-content\/uploads\/sites\/2\/2022\/06\/image-183-1024x462.png 1024w, https:\/\/kairntech.com\/doc\/wp-content\/uploads\/sites\/2\/2022\/06\/image-183-300x135.png 300w, https:\/\/kairntech.com\/doc\/wp-content\/uploads\/sites\/2\/2022\/06\/image-183-768x347.png 768w, https:\/\/kairntech.com\/doc\/wp-content\/uploads\/sites\/2\/2022\/06\/image-183-1536x694.png 1536w, https:\/\/kairntech.com\/doc\/wp-content\/uploads\/sites\/2\/2022\/06\/image-183.png 1807w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Launch the experiment<\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"468\" src=\"https:\/\/kairntech.com\/doc\/wp-content\/uploads\/sites\/2\/2022\/06\/image-185-1024x468.png\" alt=\"\" class=\"wp-image-5474\" srcset=\"https:\/\/kairntech.com\/doc\/wp-content\/uploads\/sites\/2\/2022\/06\/image-185-1024x468.png 1024w, https:\/\/kairntech.com\/doc\/wp-content\/uploads\/sites\/2\/2022\/06\/image-185-300x137.png 300w, https:\/\/kairntech.com\/doc\/wp-content\/uploads\/sites\/2\/2022\/06\/image-185-768x351.png 768w, https:\/\/kairntech.com\/doc\/wp-content\/uploads\/sites\/2\/2022\/06\/image-185-1536x702.png 1536w, https:\/\/kairntech.com\/doc\/wp-content\/uploads\/sites\/2\/2022\/06\/image-185.png 1920w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Evaluate the overall quality of the models and the quality for each model by ticking the quality tick-box.<\/li>\n\n\n\n<li>You can select different options to evaluate the quality of the models: F-measure, precision, recall and number of examples.&nbsp;<\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"470\" src=\"https:\/\/kairntech.com\/doc\/wp-content\/uploads\/sites\/2\/2022\/06\/image-186-1024x470.png\" alt=\"\" class=\"wp-image-5475\" srcset=\"https:\/\/kairntech.com\/doc\/wp-content\/uploads\/sites\/2\/2022\/06\/image-186-1024x470.png 1024w, https:\/\/kairntech.com\/doc\/wp-content\/uploads\/sites\/2\/2022\/06\/image-186-300x138.png 300w, https:\/\/kairntech.com\/doc\/wp-content\/uploads\/sites\/2\/2022\/06\/image-186-768x352.png 768w, https:\/\/kairntech.com\/doc\/wp-content\/uploads\/sites\/2\/2022\/06\/image-186-1536x705.png 1536w, https:\/\/kairntech.com\/doc\/wp-content\/uploads\/sites\/2\/2022\/06\/image-186.png 1918w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Improve<\/strong>&nbsp;the labels of the dataset with a&nbsp;low quality&nbsp;by focusing your annotation efforts on these weaker labels.<\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-embed is-type-wp-embed is-provider-kairntech-documentation wp-block-embed-kairntech-documentation\"><div class=\"wp-block-embed__wrapper\">\n<blockquote class=\"wp-embedded-content\" data-secret=\"VswdjCvnS8\"><a href=\"https:\/\/kairntech.com\/doc\/how-to-test-a-model\/\">How to test a model or a pipeline?<\/a><\/blockquote><iframe loading=\"lazy\" class=\"wp-embedded-content\" sandbox=\"allow-scripts\" security=\"restricted\" style=\"position: absolute; visibility: hidden;\" title=\"&#8220;How to test a model or a pipeline?&#8221; &#8212; Kairntech Documentation\" src=\"https:\/\/kairntech.com\/doc\/how-to-test-a-model\/embed\/#?secret=x6EGt0mrmL#?secret=VswdjCvnS8\" data-secret=\"VswdjCvnS8\" width=\"600\" height=\"338\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\"><\/iframe>\n<\/div><\/figure>\n","protected":false},"excerpt":{"rendered":"<p>With a sufficient number of annotations available, the goal is to&nbsp;create and&nbsp;experiment with models with the help of pre-configured and state-of-the-art machine or deep learning algorithms. The models learn from existing annotations. Models need to be compared in order to select the best one for automating this task in the future on new documents.<\/p>\n","protected":false},"author":4,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[14],"tags":[],"class_list":["post-754","post","type-post","status-publish","format-standard","hentry","category-advanced-topics"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.8 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>How to experiment categorization with models (advanced)? - Kairntech Documentation<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/kairntech.com\/doc\/how-to-experiment-categorization-with-models-advanced\/\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"How to experiment categorization with models (advanced)? - Kairntech Documentation\" \/>\n<meta property=\"og:description\" content=\"With a sufficient number of annotations available, the goal is to&nbsp;create and&nbsp;experiment with models with the help of pre-configured and state-of-the-art machine or deep learning algorithms. 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