{"id":1519,"date":"2021-05-27T08:55:20","date_gmt":"2021-05-27T15:55:20","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/haxtoolkit\/?post_type=example&#038;p=1519"},"modified":"2023-05-26T05:22:44","modified_gmt":"2023-05-26T12:22:44","slug":"prediction-g11-a-local-explanations","status":"publish","type":"example","link":"https:\/\/www.microsoft.com\/en-us\/haxtoolkit\/example\/prediction-g11-a-local-explanations\/","title":{"rendered":"InterpretML | 11A: Local explanations"},"content":{"rendered":"<div class=\"toolkit-heading-with-image-block\">\n\t\n\n<h2 class=\"wp-block-heading\">InterpretML | 11A: Local explanations<\/h2>\n\n\n\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" src=\"https:\/\/www.microsoft.com\/en-us\/haxtoolkit\/uploads\/prod\/2023\/05\/yellow-header-bar-1536x14-5-23.png\" alt=\"\" \/><\/figure>\n\n<\/div>\n\n\n\n\n\n<figure class=\"wp-block-image size-large is-style-example\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"679\" src=\"https:\/\/www.microsoft.com\/en-us\/haxtoolkit\/uploads\/prod\/2021\/05\/48603-G11-A_Local-Explanations_InterpretML-Microsoft_Breast-Cancer-Recurrence-Prediction-1-annotated.png\" alt=\"InterpreML provides local explanation.\" class=\"wp-image-1333\" srcset=\"https:\/\/www.microsoft.com\/en-us\/haxtoolkit\/uploads\/prod\/2021\/05\/48603-G11-A_Local-Explanations_InterpretML-Microsoft_Breast-Cancer-Recurrence-Prediction-1-annotated.png 1024w, https:\/\/www.microsoft.com\/en-us\/haxtoolkit\/uploads\/prod\/2021\/05\/48603-G11-A_Local-Explanations_InterpretML-Microsoft_Breast-Cancer-Recurrence-Prediction-1-annotated-300x199.png 300w, https:\/\/www.microsoft.com\/en-us\/haxtoolkit\/uploads\/prod\/2021\/05\/48603-G11-A_Local-Explanations_InterpretML-Microsoft_Breast-Cancer-Recurrence-Prediction-1-annotated-768x509.png 768w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\">This is a model for predicting recurrence of breast cancer based on patient and tumor attributes. For this patient, the model has predicted no recurrence. Interpret ML makes clear why the model made this prediction (<a href=\"https:\/\/www.microsoft.com\/en-us\/haxtoolkit\/guideline\/make-clear-why-the-system-did-what-it-did\/\">Guideline 11<\/a>), providing a local explanation that lists attributes in order of their importance for the prediction (<a href=\"https:\/\/www.microsoft.com\/en-us\/haxtoolkit\/pattern\/g11-a-local-explanations\/\">Pattern 11A<\/a>). In this case, a smaller tumor size of 10-14 (range maximum is 59) and a low degree of 1.0 malignancy (range maximum is 3) are the top two most important attributes for the prediction. <em><sup><sub>Image captured July 2020.<\/sub><\/sup><\/em><\/figcaption><\/figure>\n","protected":false},"featured_media":1333,"menu_order":0,"template":"","meta":{"toolkit_pattern_number":"11A","ep_exclude_from_search":false,"footnotes":""},"application-type":[69],"goal":[114,126,123],"guideline-term":[13],"product-category":[62],"class_list":["post-1519","example","type-example","status-publish","has-post-thumbnail","hentry","application-type-prediction","goal-appropriate-reliance","goal-reliability","goal-transparency","guideline-term-make-clear-why-the-system-did-what-it-did","product-category-health-and-wellness"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v23.3 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>InterpretML | 11A: Local explanations - Microsoft HAX Toolkit<\/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:\/\/www.microsoft.com\/en-us\/haxtoolkit\/example\/prediction-g11-a-local-explanations\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"InterpretML | 11A: Local explanations - Microsoft HAX Toolkit\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.microsoft.com\/en-us\/haxtoolkit\/example\/prediction-g11-a-local-explanations\/\" \/>\n<meta property=\"og:site_name\" content=\"Microsoft HAX Toolkit\" \/>\n<meta property=\"article:modified_time\" content=\"2023-05-26T12:22:44+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.microsoft.com\/en-us\/haxtoolkit\/uploads\/prod\/2021\/05\/48603-G11-A_Local-Explanations_InterpretML-Microsoft_Breast-Cancer-Recurrence-Prediction-1-annotated.png\" \/>\n\t<meta property=\"og:image:width\" content=\"1024\" \/>\n\t<meta property=\"og:image:height\" content=\"679\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"1 minute\" \/>\n\t<meta name=\"twitter:label2\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data2\" content=\"Shipi Dhanorkar\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.microsoft.com\/en-us\/haxtoolkit\/example\/prediction-g11-a-local-explanations\/\",\"url\":\"https:\/\/www.microsoft.com\/en-us\/haxtoolkit\/example\/prediction-g11-a-local-explanations\/\",\"name\":\"InterpretML | 11A: Local explanations - Microsoft HAX Toolkit\",\"isPartOf\":{\"@id\":\"https:\/\/www.microsoft.com\/en-us\/haxtoolkit\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/www.microsoft.com\/en-us\/haxtoolkit\/example\/prediction-g11-a-local-explanations\/#primaryimage\"},\"image\":{\"@id\":\"https:\/\/www.microsoft.com\/en-us\/haxtoolkit\/example\/prediction-g11-a-local-explanations\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/www.microsoft.com\/en-us\/haxtoolkit\/uploads\/prod\/2021\/05\/48603-G11-A_Local-Explanations_InterpretML-Microsoft_Breast-Cancer-Recurrence-Prediction-1-annotated.png\",\"datePublished\":\"2021-05-27T15:55:20+00:00\",\"dateModified\":\"2023-05-26T12:22:44+00:00\",\"breadcrumb\":{\"@id\":\"https:\/\/www.microsoft.com\/en-us\/haxtoolkit\/example\/prediction-g11-a-local-explanations\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/www.microsoft.com\/en-us\/haxtoolkit\/example\/prediction-g11-a-local-explanations\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/www.microsoft.com\/en-us\/haxtoolkit\/example\/prediction-g11-a-local-explanations\/#primaryimage\",\"url\":\"https:\/\/www.microsoft.com\/en-us\/haxtoolkit\/uploads\/prod\/2021\/05\/48603-G11-A_Local-Explanations_InterpretML-Microsoft_Breast-Cancer-Recurrence-Prediction-1-annotated.png\",\"contentUrl\":\"https:\/\/www.microsoft.com\/en-us\/haxtoolkit\/uploads\/prod\/2021\/05\/48603-G11-A_Local-Explanations_InterpretML-Microsoft_Breast-Cancer-Recurrence-Prediction-1-annotated.png\",\"width\":1024,\"height\":679,\"caption\":\"This is a model for predicting recurrence of breast cancer based on patient and tumor attributes. 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