{"id":57605,"date":"2024-04-16T01:04:53","date_gmt":"2024-04-16T01:04:53","guid":{"rendered":"https:\/\/exam.pscnotes.com\/mcq\/?p=57605"},"modified":"2024-04-16T01:04:53","modified_gmt":"2024-04-16T01:04:53","slug":"what-is-the-accuracy-in-percentage-based-on-following-confusion-matrix-of-three-class-classification-confusion-matrix-c-14-0-0-1-15-0-0-0-6","status":"publish","type":"post","link":"https:\/\/exam.pscnotes.com\/mcq\/what-is-the-accuracy-in-percentage-based-on-following-confusion-matrix-of-three-class-classification-confusion-matrix-c-14-0-0-1-15-0-0-0-6\/","title":{"rendered":"What is the Accuracy in percentage based on following confusion matrix of three class classification. Confusion Matrix C= [14 0 0] [ 1 15 0] [ 0 0 6]"},"content":{"rendered":"<p>[amp_mcq option1=&#8221;0.75&#8243; option2=&#8221;0.97&#8243; option3=&#8221;0.95&#8243; option4=&#8221;0.85&#8243; correct=&#8221;option3&#8243;]<!--more--><\/p>\n<p>The correct answer is $\\boxed{\\text{B) 0.97}}$.<\/p>\n<p>Accuracy is the percentage of instances that are correctly classified. It is calculated by dividing the number of correct classifications by the total number of classifications. In this case, there are 14 + 15 + 6 = 35 total classifications, and 14 + 15 = 29 of them are correct. Therefore, the accuracy is $\\frac{29}{35} = 0.97$.<\/p>\n<p>Option A is incorrect because it is the accuracy of a two-class classification. Option C is incorrect because it is the accuracy of a four-class classification. Option D is incorrect because it is the accuracy of a five-class classification.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>[amp_mcq option1=&#8221;0.75&#8243; option2=&#8221;0.97&#8243; option3=&#8221;0.95&#8243; option4=&#8221;0.85&#8243; correct=&#8221;option3&#8243;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[729],"tags":[],"class_list":["post-57605","post","type-post","status-publish","format-standard","hentry","category-machine-learning","no-featured-image-padding"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v22.2 (Yoast SEO v23.3) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>What is the Accuracy in percentage based on following confusion matrix of three class classification. 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