{"id":4463,"date":"2021-11-23T23:56:05","date_gmt":"2021-11-24T04:56:05","guid":{"rendered":"https:\/\/portfolios.cs.earlham.edu\/?p=4463"},"modified":"2021-11-23T23:57:33","modified_gmt":"2021-11-24T04:57:33","slug":"cs-488-senior-capstone-final-submission","status":"publish","type":"post","link":"https:\/\/portfolios.cs.earlham.edu\/index.php\/2021\/11\/23\/cs-488-senior-capstone-final-submission\/","title":{"rendered":"CS 488: Senior Capstone &#8211; Final Submission"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\"><strong>ABSTRACT:<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Voting is an important Ensemble Learning technique. However, there has not been much discussion about leveraging the base classifiers\u2019 consensus on unlabeled data to better inform the final prediction. My proposed method identifies the data points where the ensemble reaches consensus and where conflict arises in the unlabeled space. A meta weighted KNN model is trained upon this half-labeled set with the labels of the consensus and the conflict points marked as \u201cUnknown,\u201d which is treated as a new, additional class. The predictions of the meta model are expected to better inform the decision of the ensemble in the case of conflict. This research project aims to implement my proposed method and evaluate it on a range of benchmark datasets.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>SOFTWARE ARCHITECTURE DIAGRAM:<\/strong><\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" src=\"https:\/\/portfolios.cs.earlham.edu\/wp-content\/uploads\/2021\/11\/ucm-software-diagram.png\" alt=\"\"\/><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/portfolios.cs.earlham.edu\/wp-content\/uploads\/2021\/11\/dongcao_final_paper.pdf\">FINAL PAPER<\/a><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/www.youtube.com\/watch?v=seAAI6IZaPs\">SOFTWARE DEMO VIDEO<\/a> <\/p>\n","protected":false},"excerpt":{"rendered":"<p>ABSTRACT: Voting is an important Ensemble Learning technique. However, there has not been much discussion about leveraging the base classifiers\u2019 consensus on unlabeled data to better inform the final prediction. My proposed method identifies the data points where the ensemble reaches consensus and where conflict arises in the unlabeled space. A meta weighted KNN model &#8230; <a title=\"CS 488: Senior Capstone &#8211; Final Submission\" class=\"read-more\" href=\"https:\/\/portfolios.cs.earlham.edu\/index.php\/2021\/11\/23\/cs-488-senior-capstone-final-submission\/\" aria-label=\"Read more about CS 488: Senior Capstone &#8211; Final Submission\">Read more<\/a><\/p>\n","protected":false},"author":66,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[19],"tags":[],"class_list":["post-4463","post","type-post","status-publish","format-standard","hentry","category-student"],"_links":{"self":[{"href":"https:\/\/portfolios.cs.earlham.edu\/index.php\/wp-json\/wp\/v2\/posts\/4463","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/portfolios.cs.earlham.edu\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/portfolios.cs.earlham.edu\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/portfolios.cs.earlham.edu\/index.php\/wp-json\/wp\/v2\/users\/66"}],"replies":[{"embeddable":true,"href":"https:\/\/portfolios.cs.earlham.edu\/index.php\/wp-json\/wp\/v2\/comments?post=4463"}],"version-history":[{"count":3,"href":"https:\/\/portfolios.cs.earlham.edu\/index.php\/wp-json\/wp\/v2\/posts\/4463\/revisions"}],"predecessor-version":[{"id":4468,"href":"https:\/\/portfolios.cs.earlham.edu\/index.php\/wp-json\/wp\/v2\/posts\/4463\/revisions\/4468"}],"wp:attachment":[{"href":"https:\/\/portfolios.cs.earlham.edu\/index.php\/wp-json\/wp\/v2\/media?parent=4463"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/portfolios.cs.earlham.edu\/index.php\/wp-json\/wp\/v2\/categories?post=4463"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/portfolios.cs.earlham.edu\/index.php\/wp-json\/wp\/v2\/tags?post=4463"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}