{"id":2049,"date":"2013-07-24T19:03:33","date_gmt":"2013-07-24T19:03:33","guid":{"rendered":"http:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=2049"},"modified":"2013-08-13T18:36:07","modified_gmt":"2013-08-13T18:36:07","slug":"12-predictive-analytics-screw-ups","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/12-predictive-analytics-screw-ups\/2049\/","title":{"rendered":"12 Predictive Analytics Screw-Ups"},"content":{"rendered":"Make these mistakes and you won&#8217;t need an algorithm to predict the outcome Whether you&#8217;re new to predictive analytics or have a few projects under your belt, it&#8217;s all too easy to make gaffes. &#8220;The vast majority of analytic projects are riddled with mistakes,&#8221; says John Elder, CEO at data mining firm Elder Research. Most of those aren&#8217;t fatal &#8212; almost every model can be improved &#8212; but many projects fail miserably nonetheless, leaving the business with a costly investment in software and time, and nothing to show for it. And even if you develop a useful model, <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/12-predictive-analytics-screw-ups\/2049\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>Make these mistakes and you won&#8217;t need an algorithm to predict the outcome Whether you&#8217;re new to predictive analytics or have a few projects under your belt, it&#8217;s all too easy to make gaffes. &#8220;The vast majority of analytic projects are riddled with mistakes,&#8221; says John Elder, CEO at data mining firm Elder Research. Most [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[11],"tags":[],"class_list":["post-2049","post","type-post","status-publish","format-standard","hentry","category-industry-news"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/2049","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\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/comments?post=2049"}],"version-history":[{"count":3,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/2049\/revisions"}],"predecessor-version":[{"id":2188,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/2049\/revisions\/2188"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=2049"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=2049"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=2049"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}