{"id":906,"date":"2013-02-25T11:52:49","date_gmt":"2013-02-25T12:52:49","guid":{"rendered":"http:\/\/sites.uac.pt\/amendes\/?p=906"},"modified":"2013-02-25T11:52:49","modified_gmt":"2013-02-25T12:52:49","slug":"weka-cost-benefit","status":"publish","type":"post","link":"https:\/\/sites.uac.pt\/amendes\/visualizacao\/weka-cost-benefit\/","title":{"rendered":"WEKA Cost Benefit Analysis"},"content":{"rendered":"<div id=\"attachment_575\" style=\"width: 247px\" class=\"wp-caption alignleft\"><a href=\"http:\/\/wiki.pentaho.com\/display\/DATAMINING\/Cost+Benefit+Analysis\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-575\" class=\"size-full wp-image-575\" src=\"http:\/\/sites.uac.pt\/amendes\/files\/2012\/04\/pentaho.png\" alt=\"An\u00e1lise de custo benef\u00edcio para avalia\u00e7\u00e3o de modelos\" width=\"237\" height=\"63\" \/><\/a><p id=\"caption-attachment-575\" class=\"wp-caption-text\">An\u00e1lise de custo benef\u00edcio para avalia\u00e7\u00e3o de modelos<\/p><\/div>\n<p>The Cost\/Benefit analysis component is a new visualization tool that  was released in Weka versions 3.6.2 and 3.7.1. The tool is particularly  useful for the analysis of predictive analytic outcomes for direct mail  campaigns (or any ranking application where costs are involved). It  allows the user to explore various cost\/benefit tradeoffs by  interactively selecting different population sizes from the ranked list  of prospects or by varying the threshold on the predicted probability of  the positive class.<\/p>\n<p>The Cost\/Benefit analysis tool is available from both the Explorer  and Knowledge Flow user interfaces. In the figure below, the Knowledge  Flow is being used to build a predictive model for a real-world direct  mail application. The data is historical campaign data from a mail out  to solicit donations to a charitable organization. The data set contains  47,706 records with 476 variables (summary variables for donor lifetime  giving history, overlay demographics etc.). The percentage of donors in  the data is approximately 5%. A 10-fold cross-validation is used to  generate predictions from a naive Bayes classifier, and these are then  passed to the Cost\/Benefit analysis tool.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The Cost\/Benefit analysis component is a new visualization tool that was released in Weka versions 3.6.2 and 3.7.1. The tool is particularly useful for the analysis of predictive analytic outcomes for direct mail campaigns (or any ranking application where costs are involved). It allows the user to explore various cost\/benefit tradeoffs by interactively selecting different [&hellip;]<\/p>\n","protected":false},"author":159,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[103,122,137,80],"tags":[133],"class_list":["post-906","post","type-post","status-publish","format-standard","hentry","category-data-mining","category-sad-dss","category-software","category-visualizacao","tag-weka"],"_links":{"self":[{"href":"https:\/\/sites.uac.pt\/amendes\/wp-json\/wp\/v2\/posts\/906","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sites.uac.pt\/amendes\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/sites.uac.pt\/amendes\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/sites.uac.pt\/amendes\/wp-json\/wp\/v2\/users\/159"}],"replies":[{"embeddable":true,"href":"https:\/\/sites.uac.pt\/amendes\/wp-json\/wp\/v2\/comments?post=906"}],"version-history":[{"count":2,"href":"https:\/\/sites.uac.pt\/amendes\/wp-json\/wp\/v2\/posts\/906\/revisions"}],"predecessor-version":[{"id":908,"href":"https:\/\/sites.uac.pt\/amendes\/wp-json\/wp\/v2\/posts\/906\/revisions\/908"}],"wp:attachment":[{"href":"https:\/\/sites.uac.pt\/amendes\/wp-json\/wp\/v2\/media?parent=906"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/sites.uac.pt\/amendes\/wp-json\/wp\/v2\/categories?post=906"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/sites.uac.pt\/amendes\/wp-json\/wp\/v2\/tags?post=906"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}