{"id":11993,"date":"2022-09-29T06:23:30","date_gmt":"2022-09-29T00:53:30","guid":{"rendered":"https:\/\/jassweb.com\/solved\/solved-interpreting-the-confusion-matrix-closed\/"},"modified":"2022-09-29T06:23:30","modified_gmt":"2022-09-29T00:53:30","slug":"solved-interpreting-the-confusion-matrix-closed","status":"publish","type":"post","link":"https:\/\/jassweb.com\/solved\/solved-interpreting-the-confusion-matrix-closed\/","title":{"rendered":"[Solved] interpreting the confusion matrix [closed]"},"content":{"rendered":"<p> [ad_1]<br \/>\n<\/p>\n<div id=\"answer-49729666\" class=\"answer js-answer accepted-answer js-accepted-answer\" data-answerid=\"49729666\" data-parentid=\"49724567\" data-score=\"-1\" data-position-on-page=\"1\" data-highest-scored=\"1\" data-question-has-accepted-highest-score=\"1\" itemprop=\"acceptedAnswer\" itemscope itemtype=\"https:\/\/schema.org\/Answer\">\n<div class=\"post-layout\">\n<div class=\"votecell post-layout--left\"><\/div>\n<div class=\"answercell post-layout--right\">\n<div class=\"s-prose js-post-body\" itemprop=\"text\">\n<p>Remove id feature, also check and remove any features which you think add no value to prediction (any other features like id) or features with unique values. Also check if there is any class imbalance (how many samples of each class are present in data, is there proper balance among the classes?). Then try applying models and tune the parameters for better results. You may use cross-validation for better results.<\/p>\n<\/p><\/div>\n<div class=\"mt24\"><\/div>\n<\/div>\n<p>            <span class=\"d-none\" itemprop=\"commentCount\"><\/span> <\/p><\/div>\n<\/div>\n<p>[ad_2]<\/p>\n<p>solved interpreting the confusion matrix [closed] <\/p>\n","protected":false},"excerpt":{"rendered":"<p>[ad_1] Remove id feature, also check and remove any features which you think add no value to prediction (any other features like id) or features with unique values. Also check if there is any class imbalance (how many samples of each class are present in data, is there proper balance among the classes?). Then try &#8230; <a title=\"[Solved] interpreting the confusion matrix [closed]\" class=\"read-more\" href=\"https:\/\/jassweb.com\/solved\/solved-interpreting-the-confusion-matrix-closed\/\" aria-label=\"More on [Solved] interpreting the confusion matrix [closed]\">Read more<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[320],"tags":[2254,3276,1173,349,792],"class_list":["post-11993","post","type-post","status-publish","format-standard","hentry","category-solved","tag-classification","tag-confusion-matrix","tag-machine-learning","tag-python","tag-scikit-learn"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>[Solved] interpreting the confusion matrix [closed] - JassWeb<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/jassweb.com\/solved\/solved-interpreting-the-confusion-matrix-closed\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"[Solved] interpreting the confusion matrix [closed] - JassWeb\" \/>\n<meta property=\"og:description\" content=\"[ad_1] Remove id feature, also check and remove any features which you think add no value to prediction (any other features like id) or features with unique values. 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