{"id":8147,"date":"2016-09-21T11:45:55","date_gmt":"2016-09-21T15:45:55","guid":{"rendered":"http:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=8147"},"modified":"2016-09-21T11:57:33","modified_gmt":"2016-09-21T15:57:33","slug":"hillary-america-almost-certainly-using-uplift-modeling","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/hillary-america-almost-certainly-using-uplift-modeling\/8147\/","title":{"rendered":"How Hillary for America Is (Almost Certainly) Using Uplift Modeling"},"content":{"rendered":"In this article, I provide evidence that Hillary for America is employing uplift modeling for per-voter persuasion\u2014which Trump\u2019s campaign may not be taking advantage of\u2014and I pose questions about the 2016 presidential race to a leading practitioner whose hands-on efforts won Obama votes in 2012: Daniel Porter, former director of statistical modeling of Obama for America and co-founder of BlueLabs. For more, also see Porter&#8217;s keynote at Predictive Analytics World (October 23-27 in New York): \u201cPersuasion Modeling in Presidential Campaigns and How It Applies to Business.\u201d Analytics will win votes this year. Science, as it did in 2012, <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/hillary-america-almost-certainly-using-uplift-modeling\/8147\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>In this article, I provide evidence that Hillary for America is employing uplift modeling for per-voter persuasion\u2014which Trump\u2019s campaign may not be taking advantage of\u2014and I pose questions about the 2016 presidential race to a leading practitioner whose hands-on efforts won Obama votes in 2012: Daniel Porter, former director of statistical modeling of Obama for [&hellip;]<\/p>\n","protected":false},"author":625,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[3],"tags":[59,126,8,198],"class_list":["post-8147","post","type-post","status-publish","format-standard","hentry","category-leading-stories","tag-analytics","tag-persuasion-modeling","tag-predictive-analytics","tag-uplift-modeling"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/8147","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\/625"}],"replies":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/comments?post=8147"}],"version-history":[{"count":10,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/8147\/revisions"}],"predecessor-version":[{"id":8157,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/8147\/revisions\/8157"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=8147"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=8147"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=8147"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}