{"id":2154,"date":"2024-05-10T07:12:36","date_gmt":"2024-05-10T07:12:36","guid":{"rendered":"https:\/\/www.skillvertex.com\/blog\/?p=2154"},"modified":"2024-05-10T07:12:36","modified_gmt":"2024-05-10T07:12:36","slug":"what-is-support-and-confidence-in-data-mining","status":"publish","type":"post","link":"https:\/\/www.skillvertex.com\/blog\/what-is-support-and-confidence-in-data-mining\/","title":{"rendered":"What Is Support And Confidence in Data Mining"},"content":{"rendered":"\n<p>Support and confidence are crucial terms in implementing Market Basket Analysis (MBA), which is a common technique used in retail and e-commerce to uncover associations between products that are frequently purchased together.<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>Support:<\/li>\n<\/ol>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Support is a measure of how frequently an itemset (a set of items or attributes) appears in a dataset. It indicates the proportion of transactions or records in the dataset that contain the itemset.<\/li>\n\n\n\n<li>Mathematically, support for an itemset X is calculated as Support(X) = (Number of transactions containing X) \/ (Total number of transactions)<\/li>\n\n\n\n<li>Support values typically range from 0 to 1, with 1 indicating that the itemset X is present in all transactions and 0 indicating that it is not present in any transaction.<\/li>\n\n\n\n<li>High support values suggest that the itemset is common in the dataset.<\/li>\n<\/ul>\n\n\n\n<p> 2. Confidence:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Confidence measures the strength of association between two itemsets, often referred to as the antecedent (X) and consequent (Y) of an association rule.<\/li>\n\n\n\n<li>Confidence is calculated as the conditional probability of finding the consequent Y in a transaction given that the antecedent X is present in that transaction.<\/li>\n\n\n\n<li>Mathematically, confidence for a rule X -&gt; Y is calculated as: Confidence(X -&gt; Y) = Support(X \u222a Y) \/ Support(X)<\/li>\n\n\n\n<li>Confidence values range from 0 to 1, with 1 indicating a perfect association between X and Y, and 0 indicating no association.<\/li>\n\n\n\n<li>High confidence values suggest that if the antecedent X is present in a transaction, there is a strong likelihood that the consequent Y will also be present.<\/li>\n<\/ul>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Support and confidence are crucial terms in implementing Market Basket Analysis (MBA), which is a common technique used in retail and e-commerce to uncover associations between products that are frequently purchased together. 2. Confidence:<\/p>\n","protected":false},"author":4,"featured_media":2155,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[224],"tags":[379],"class_list":["post-2154","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-question-answer","tag-what-is-support-and-confidence-in-data-mining","generate-columns","tablet-grid-50","mobile-grid-100","grid-parent","grid-33"],"_links":{"self":[{"href":"https:\/\/www.skillvertex.com\/blog\/wp-json\/wp\/v2\/posts\/2154","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.skillvertex.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.skillvertex.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.skillvertex.com\/blog\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/www.skillvertex.com\/blog\/wp-json\/wp\/v2\/comments?post=2154"}],"version-history":[{"count":2,"href":"https:\/\/www.skillvertex.com\/blog\/wp-json\/wp\/v2\/posts\/2154\/revisions"}],"predecessor-version":[{"id":2157,"href":"https:\/\/www.skillvertex.com\/blog\/wp-json\/wp\/v2\/posts\/2154\/revisions\/2157"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.skillvertex.com\/blog\/wp-json\/wp\/v2\/media\/2155"}],"wp:attachment":[{"href":"https:\/\/www.skillvertex.com\/blog\/wp-json\/wp\/v2\/media?parent=2154"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.skillvertex.com\/blog\/wp-json\/wp\/v2\/categories?post=2154"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.skillvertex.com\/blog\/wp-json\/wp\/v2\/tags?post=2154"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}