{"id":278,"date":"2022-05-28T03:07:52","date_gmt":"2022-05-28T03:07:52","guid":{"rendered":"https:\/\/gatesboltonanalytics.com\/?page_id=278"},"modified":"2022-09-22T21:37:53","modified_gmt":"2022-09-22T21:37:53","slug":"decision-trees","status":"publish","type":"page","link":"https:\/\/gatesboltonanalytics.com\/?page_id=278","title":{"rendered":"Decision Trees"},"content":{"rendered":"\n<p><strong>Decision Trees <\/strong>are a supervised machine learning modeling method. The following tutorial will step through a review of modeling in general, fitting and over-fitting, supervised learning styles, classification, training and testing, labels, decision tree examples, confusion matrices and cost matrices, issues with measuring accuracy, other measures such as precision and recall, details and math of decision trees (GINI, Entropy, Information Gain, etc.), Hunt&#8217;s algorithm, and node splitting options. <\/p>\n\n\n\n<p> <\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<div data-wp-interactive=\"core\/file\" class=\"wp-block-file\"><object data-wp-bind--hidden=\"!state.hasPdfPreview\" hidden class=\"wp-block-file__embed\" data=\"https:\/\/gatesboltonanalytics.com\/wp-content\/uploads\/2022\/09\/Lecture-Decision-Trees-Gates_Updated2022.pdf\" type=\"application\/pdf\" style=\"width:100%;height:600px\" aria-label=\"Embed of Embed of Lecture-Decision-Trees-Gates_Updated2022..\"><\/object><a id=\"wp-block-file--media-af8804db-cce7-49d5-9fbc-fe890dadcb75\" href=\"https:\/\/gatesboltonanalytics.com\/wp-content\/uploads\/2022\/09\/Lecture-Decision-Trees-Gates_Updated2022.pdf\">Lecture-Decision-Trees-Gates_Updated2022<\/a><a href=\"https:\/\/gatesboltonanalytics.com\/wp-content\/uploads\/2022\/09\/Lecture-Decision-Trees-Gates_Updated2022.pdf\" class=\"wp-block-file__button\" download aria-describedby=\"wp-block-file--media-af8804db-cce7-49d5-9fbc-fe890dadcb75\">Download<\/a><\/div>\n\n\n\n<div class=\"wp-block-buttons is-layout-flex wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button is-style-fill\"><a class=\"wp-block-button__link has-vivid-cyan-blue-background-color has-background\" href=\"https:\/\/gatesboltonanalytics.com\/?page_id=280\" target=\"_blank\" rel=\"noreferrer noopener\">Click here for Decision Trees in R for Record and Text\/Corpus Data<\/a><\/div>\n<\/div>\n\n\n\n<p> <\/p>\n\n\n\n<div class=\"wp-block-buttons is-layout-flex wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button\"><a class=\"wp-block-button__link has-vivid-red-background-color has-background\" href=\"https:\/\/gatesboltonanalytics.com\/?page_id=282\" target=\"_blank\" rel=\"noreferrer noopener\">Click here for Decision Trees in Python\/sklearn<\/a><\/div>\n<\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n","protected":false},"excerpt":{"rendered":"<p>Decision Trees are a supervised machine learning modeling method. The following tutorial will step through a review of modeling in general, fitting and over-fitting, supervised learning styles, classification, training and testing, labels, decision tree examples, confusion matrices and cost matrices, issues with measuring accuracy, other measures such as precision and recall, details and math of<br \/><a class=\"btn btn-theme post-btn\" href=\"https:\/\/gatesboltonanalytics.com\/?page_id=278\">Read More<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"class_list":["post-278","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/gatesboltonanalytics.com\/index.php?rest_route=\/wp\/v2\/pages\/278","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/gatesboltonanalytics.com\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/gatesboltonanalytics.com\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/gatesboltonanalytics.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/gatesboltonanalytics.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=278"}],"version-history":[{"count":5,"href":"https:\/\/gatesboltonanalytics.com\/index.php?rest_route=\/wp\/v2\/pages\/278\/revisions"}],"predecessor-version":[{"id":697,"href":"https:\/\/gatesboltonanalytics.com\/index.php?rest_route=\/wp\/v2\/pages\/278\/revisions\/697"}],"wp:attachment":[{"href":"https:\/\/gatesboltonanalytics.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=278"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}