{"id":10742,"date":"2020-01-12T09:04:23","date_gmt":"2020-01-12T14:04:23","guid":{"rendered":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=10742"},"modified":"2020-01-12T09:04:23","modified_gmt":"2020-01-12T14:04:23","slug":"how-our-primary-model-works","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/how-our-primary-model-works\/10742\/","title":{"rendered":"How Our Primary Model Works"},"content":{"rendered":"Originally published in FiveThirtyEight, January 9, 2020 Here at FiveThirtyEight, we\u2019ve never built a complete back-to-front model of the presidential primaries before. Instead, in 2008, 2012 and 2016, we issued forecasts of individual primaries and caucuses on piecemeal basis, using polls and demographics. We always thought there were too many complexities involved \u2014 how the outcome in one state can affect the next one, for example \u2014 to build a full-fledged primary model. But this year, we\u2019re giving it a shot. We\u2019ve built a forecast that plays out the outcome of the 57 delegate-selection contests (50 states, D.C., <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/how-our-primary-model-works\/10742\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>Originally published in FiveThirtyEight, January 9, 2020 Here at FiveThirtyEight, we\u2019ve never built a complete back-to-front model of the presidential primaries before. Instead, in 2008, 2012 and 2016, we issued forecasts of individual primaries and caucuses on piecemeal basis, using polls and demographics. We always thought there were too many complexities involved \u2014 how the [&hellip;]<\/p>\n","protected":false},"author":72,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[11,48],"tags":[1057,59,230,243,8,1058],"class_list":["post-10742","post","type-post","status-publish","format-standard","hentry","category-industry-news","category-left-hand","tag-2020-primaries","tag-analytics","tag-data-analytics","tag-machine-learning","tag-predictive-analytics","tag-presidential-analytics"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/10742","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/users\/72"}],"replies":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/comments?post=10742"}],"version-history":[{"count":2,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/10742\/revisions"}],"predecessor-version":[{"id":10745,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/10742\/revisions\/10745"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=10742"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=10742"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=10742"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}