{"id":22899,"date":"2024-05-29T09:27:09","date_gmt":"2024-05-29T09:27:09","guid":{"rendered":"https:\/\/web.socsc.hku.hk\/event\/methods-hub-seminar-shapley-value\/"},"modified":"2024-05-29T09:27:09","modified_gmt":"2024-05-29T09:27:09","slug":"methods-hub-seminar-shapley-value","status":"publish","type":"event","link":"https:\/\/web.socsc.hku.hk\/tc\/event\/methods-hub-seminar-shapley-value\/","title":{"rendered":"Methods Hub Seminar: Shapley Value"},"content":{"rendered":"<p>Shapley values provide an absolute measure of importance for all predictors considered for a supervised model. Shapley values consider all the possible sequences the predictors can enter the model. Each sequence generates one realization of importance, and Shapley values are the average of all realizations. It can calculate the Shapley values for a candidate predictor even when it did not make it into the model (because of linear dependence). The candidate predictor\u2019s Shapley value can tell us its importance if the model does include it.<br \/>\nIn this Seminar, Dr Lam Ming-Longwill walk through the steps to calculate Shapley values using the Python scripting language and will finish it with live demonstrations.<\/p>\n","protected":false},"author":1,"template":"","event_categories":[260],"event_tag":[859,240,242,267,239,241],"related_programme":[],"class_list":["post-22899","event","type-event","status-publish","hentry","event_categories-seminar","event_tag-hkusocialsciences","event_tag-foss","event_tag-hku","event_tag-methodshub","event_tag-socialsciences","event_tag-socientist"],"acf":[],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 5.0.2 - aioseo.com -->\n\t<meta name=\"description\" content=\"Shapley values provide an absolute measure of importance for all predictors considered for a supervised model. Shapley values consider all the possible sequences the predictors can enter the model. Each sequence generates one realization of importance, and Shapley values are the average of all realizations. It can calculate the Shapley values for a candidate predictor\" \/>\n\t<meta name=\"robots\" content=\"max-image-preview:large\" \/>\n\t<meta name=\"author\" content=\"admin\"\/>\n\t<link rel=\"canonical\" href=\"https:\/\/web.socsc.hku.hk\/tc\/event\/methods-hub-seminar-shapley-value\/\" \/>\n\t<meta name=\"generator\" content=\"All in One SEO (AIOSEO) 5.0.2\" \/>\n\t\t<meta property=\"og:locale\" content=\"en_US\" \/>\n\t\t<meta property=\"og:site_name\" content=\"Faculty of Social Sciences - Faculty of Social Sciences\" \/>\n\t\t<meta property=\"og:type\" content=\"article\" \/>\n\t\t<meta property=\"og:title\" content=\"Methods Hub Seminar: Shapley Value - Faculty of Social Sciences\" \/>\n\t\t<meta property=\"og:description\" content=\"Shapley values provide an absolute measure of importance for all predictors considered for a supervised model. Shapley values consider all the possible sequences the predictors can enter the model. Each sequence generates one realization of importance, and Shapley values are the average of all realizations. It can calculate the Shapley values for a candidate predictor\" \/>\n\t\t<meta property=\"og:url\" content=\"https:\/\/web.socsc.hku.hk\/tc\/event\/methods-hub-seminar-shapley-value\/\" \/>\n\t\t<meta property=\"article:published_time\" content=\"2024-05-29T09:27:09+00:00\" \/>\n\t\t<meta property=\"article:modified_time\" content=\"2024-05-29T09:27:09+00:00\" \/>\n\t\t<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n\t\t<meta name=\"twitter:title\" content=\"Methods Hub Seminar: Shapley Value - Faculty of Social Sciences\" \/>\n\t\t<meta name=\"twitter:description\" content=\"Shapley values provide an absolute measure of importance for all predictors considered for a supervised model. Shapley values consider all the possible sequences the predictors can enter the model. 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