{"id":162,"date":"2017-07-28T13:25:18","date_gmt":"2017-07-28T13:25:18","guid":{"rendered":"https:\/\/my.dev.vanderbilt.edu\/cs4260cs5260\/?page_id=162"},"modified":"2017-09-29T12:58:16","modified_gmt":"2017-09-29T12:58:16","slug":"exercise-on-supervised-machine-learning","status":"publish","type":"page","link":"https:\/\/my.dev.vanderbilt.edu\/cs4260cs5260\/exercise-on-supervised-machine-learning\/","title":{"rendered":"Exercise on Supervised Machine Learning"},"content":{"rendered":"<p><span style=\"text-decoration: underline\"><strong>Part 1:<\/strong><\/span>\u00a0Watch the 6 videos on YouTube from the online course &#8220;Data Mining with WEKA&#8221;<\/p>\n<ul>\n<li><a href=\"https:\/\/www.youtube.com\/watch?v=Exe4Dc8FmiM\">Lesson 1.1 (Introduction)<\/a><\/li>\n<li><a href=\"https:\/\/www.youtube.com\/watch?v=nHm8otvMVTs\">Lesson 1.2 (Exploring the Explorer)<\/a><\/li>\n<li><a href=\"https:\/\/www.youtube.com\/watch?v=BO6XJSaFYzk\">Lesson 1.3 (Exploring Data Sets)<\/a><\/li>\n<li><a href=\"https:\/\/www.youtube.com\/watch?v=da-6IBnqzsg\">Lesson 1.4 (Building a Classifier)<\/a><\/li>\n<li><a href=\"https:\/\/www.youtube.com\/watch?v=XySEe4uNsCY\">Lesson 1.5 (Using a Filter)<\/a><\/li>\n<li><a href=\"https:\/\/www.youtube.com\/watch?v=U-1sTxmHE5U\">Lesson 1.6 (Visualizing Your Data)<\/a><\/li>\n<\/ul>\n<p>or better yet\u00a0<a href=\"https:\/\/weka.waikato.ac.nz\/dataminingwithweka\/preview\">sign up for the course<\/a>\u00a0(and get access to much of the book too) and watch the same videos.<\/p>\n<p>In either case, you should download the WEKA software and follow along with the videos. All this will require about 90 minutes.<\/p>\n<p><span style=\"text-decoration: underline\"><strong>Part 2:<\/strong><\/span>\u00a0(Backstory) Agriculture is an important aspect of sustainability and an important application area of computing, particular mobile. Imagine farmers in the developing world, where mobile phones are somewhat prevalent, taking a photo of a diseased soybean plant, and sending it to an international agency for purposes of diagnosis and treatment options. At the core of the receiving agency&#8217;s analysis is a classifier that was constructed by a supervised machine learning system. The photo from the farmer is image processed and translated to a set of features of the type that is accepted by the classifier. The imaged plant is diagnosed through classification, and recommendations are sent back to the farmer.<\/p>\n<p><span style=\"text-decoration: underline\"><strong>Part 3:<\/strong><\/span>\u00a0(the deliverable).<\/p>\n<ul>\n<li>Run WEKA Explorer.<\/li>\n<li>Upload the J48 with \u00a0default options, except\n<ul>\n<li>the minNumObj set to 10<\/li>\n<\/ul>\n<\/li>\n<li>Upload the Weka Soybean dataset, but\n<ul>\n<li>only for instances that belong to one of the four most common classes, and<\/li>\n<li>with the Date attribute removed<\/li>\n<\/ul>\n<\/li>\n<li><strong>Upload to Brightspace a PDF file with an image of the tree<\/strong>\u00a0(in nested list format) that is constructed from running J48 on the filtered Soybean dataset as described above, and <strong>a brief paragraph<\/strong>\u00a0on your observations about the results<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Part 1:\u00a0Watch the 6 videos on YouTube from the online course &#8220;Data Mining with WEKA&#8221; Lesson 1.1 (Introduction) Lesson 1.2 (Exploring the Explorer) Lesson 1.3 (Exploring Data Sets) Lesson 1.4 (Building a Classifier) Lesson 1.5 (Using a Filter) Lesson 1.6 &hellip; <a href=\"https:\/\/my.dev.vanderbilt.edu\/cs4260cs5260\/exercise-on-supervised-machine-learning\/\">Continue reading <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":633,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-162","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/my.dev.vanderbilt.edu\/cs4260cs5260\/wp-json\/wp\/v2\/pages\/162","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/my.dev.vanderbilt.edu\/cs4260cs5260\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/my.dev.vanderbilt.edu\/cs4260cs5260\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/my.dev.vanderbilt.edu\/cs4260cs5260\/wp-json\/wp\/v2\/users\/633"}],"replies":[{"embeddable":true,"href":"https:\/\/my.dev.vanderbilt.edu\/cs4260cs5260\/wp-json\/wp\/v2\/comments?post=162"}],"version-history":[{"count":4,"href":"https:\/\/my.dev.vanderbilt.edu\/cs4260cs5260\/wp-json\/wp\/v2\/pages\/162\/revisions"}],"predecessor-version":[{"id":396,"href":"https:\/\/my.dev.vanderbilt.edu\/cs4260cs5260\/wp-json\/wp\/v2\/pages\/162\/revisions\/396"}],"wp:attachment":[{"href":"https:\/\/my.dev.vanderbilt.edu\/cs4260cs5260\/wp-json\/wp\/v2\/media?parent=162"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}