{"id":5824,"date":"2016-08-18T15:20:04","date_gmt":"2016-08-18T19:20:04","guid":{"rendered":"http:\/\/www.decisionsciencenews.com\/?p=5824"},"modified":"2016-08-18T15:24:45","modified_gmt":"2016-08-18T19:24:45","slug":"turn-tough-decisions-simple-rules","status":"publish","type":"post","link":"https:\/\/www.decisionsciencenews.com\/?p=5824","title":{"rendered":"Turn your tough decisions into simple rules"},"content":{"rendered":"

FAST AND FRUGAL TREES R PACKAGE CREATES QUICK, ACCURATE DECISION TREES<\/p>\n

\n\"fftreesblog.s\"<\/a>\n<\/p>\n

Fast and frugal trees allow you to make rapid decisions based on a few pieces of information. You can easily carry them out in your head. Surprisingly, the accuracy of these decisions rivals those made by gold-standard methods like logistic regression, especially when predicting out of sample.<\/p>\n

Intrigued? Check out this post by Nathaniel Phillips<\/a> and the new R Package he’s created to create, visualize and test fast and frual trees<\/a>. For all you judgment and decision making researchers out there, Phillips will also be presenting the R package at the annual meeting of the Society for Judgment and Decision Making (SJDM) in Boston in November 2016<\/a>. If you know R<\/a>, you could be building fast and frugal trees today!<\/p>\n","protected":false},"excerpt":{"rendered":"

If you know R, you could building simple, accurate decision rules today with this sweet new package.<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","enabled":false}}},"categories":[4,16,13,74,15],"tags":[1285,1452,1453,205,1077,1459,1460,311,1457,1245,1455,1462,1458,1451,1456,1208,964,1454,1461],"class_list":["post-5824","post","type-post","status-publish","format-standard","hentry","category-encyclopedia","category-ideas","category-programs","category-r","category-tools","tag-decisions","tag-fast","tag-frugal","tag-gigerenzer","tag-hoffrage","tag-jenny","tag-katsikopoulos","tag-learning","tag-logistic","tag-machine","tag-martignon","tag-ml","tag-nathaniel","tag-package","tag-phillips","tag-r","tag-regression","tag-trees","tag-woike"],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_shortlink":"https:\/\/wp.me\/p4LKj-1vW","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/www.decisionsciencenews.com\/index.php?rest_route=\/wp\/v2\/posts\/5824","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.decisionsciencenews.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.decisionsciencenews.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.decisionsciencenews.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.decisionsciencenews.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=5824"}],"version-history":[{"count":8,"href":"https:\/\/www.decisionsciencenews.com\/index.php?rest_route=\/wp\/v2\/posts\/5824\/revisions"}],"predecessor-version":[{"id":5834,"href":"https:\/\/www.decisionsciencenews.com\/index.php?rest_route=\/wp\/v2\/posts\/5824\/revisions\/5834"}],"wp:attachment":[{"href":"https:\/\/www.decisionsciencenews.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=5824"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.decisionsciencenews.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=5824"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.decisionsciencenews.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=5824"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}