{"id":59517,"date":"2024-04-16T01:38:39","date_gmt":"2024-04-16T01:38:39","guid":{"rendered":"https:\/\/exam.pscnotes.com\/mcq\/?p=59517"},"modified":"2024-04-16T01:38:39","modified_gmt":"2024-04-16T01:38:39","slug":"what-is-are-true-about-kernel-in-svm-1-kernel-function-map-low-dimensional-data-to-high-dimensional-space-2-its-a-similarity-function","status":"publish","type":"post","link":"https:\/\/exam.pscnotes.com\/mcq\/what-is-are-true-about-kernel-in-svm-1-kernel-function-map-low-dimensional-data-to-high-dimensional-space-2-its-a-similarity-function\/","title":{"rendered":"What is\/are true about kernel in SVM? 1. Kernel function map low dimensional data to high dimensional space 2. It&#8217;s a similarity function"},"content":{"rendered":"<p>[amp_mcq option1=&#8221;1&#8243; option2=&#8221;2&#8243; option3=&#8221;1 and 2&#8243; option4=&#8221;None of these&#8221; correct=&#8221;option3&#8243;]<!--more--><\/p>\n<p>The correct answer is C. 1 and 2.<\/p>\n<p>A kernel function is a function that maps data points from a low-dimensional space to a high-dimensional space. This is done in order to find a more efficient way to classify data points. The kernel function is a similarity function, which means that it measures the similarity between two data points.<\/p>\n<p>Here is a more detailed explanation of each option:<\/p>\n<ul>\n<li>Option 1: Kernel function map low dimensional data to high dimensional space.<\/li>\n<\/ul>\n<p>This is true because the kernel function maps data points from a low-dimensional space to a high-dimensional space. This is done in order to find a more efficient way to classify data points.<\/p>\n<ul>\n<li>Option 2: It&#8217;s a similarity function.<\/li>\n<\/ul>\n<p>This is also true because the kernel function is a similarity function, which means that it measures the similarity between two data points.<\/p>\n<ul>\n<li>Option 3: None of these.<\/li>\n<\/ul>\n<p>This is not true because both options 1 and 2 are true.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>[amp_mcq option1=&#8221;1&#8243; option2=&#8221;2&#8243; option3=&#8221;1 and 2&#8243; option4=&#8221;None of these&#8221; 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-59517","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\/are true about kernel in SVM? 1. Kernel function map low dimensional data to high dimensional space 2. It&#039;s a similarity function<\/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:\/\/exam.pscnotes.com\/mcq\/what-is-are-true-about-kernel-in-svm-1-kernel-function-map-low-dimensional-data-to-high-dimensional-space-2-its-a-similarity-function\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"What is\/are true about kernel in SVM? 1. Kernel function map low dimensional data to high dimensional space 2. 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