{"id":59078,"date":"2024-04-16T01:30:46","date_gmt":"2024-04-16T01:30:46","guid":{"rendered":"https:\/\/exam.pscnotes.com\/mcq\/?p=59078"},"modified":"2024-04-16T01:30:46","modified_gmt":"2024-04-16T01:30:46","slug":"this-supervised-learning-technique-can-process-both-numeric-and-categorical-input-attributes","status":"publish","type":"post","link":"https:\/\/exam.pscnotes.com\/mcq\/this-supervised-learning-technique-can-process-both-numeric-and-categorical-input-attributes\/","title":{"rendered":"This supervised learning technique can process both numeric and categorical input attributes."},"content":{"rendered":"<p>[amp_mcq option1=&#8221;linear regression&#8221; option2=&#8221;bayes classifier&#8221; option3=&#8221;logistic regression&#8221; option4=&#8221;backpropagation learning&#8221; correct=&#8221;option3&#8243;]<!--more--><\/p>\n<p>The correct answer is: <strong>C. logistic regression<\/strong><\/p>\n<p>Logistic regression is a supervised learning technique that can be used to predict the probability of a binary outcome. It can be used to process both numeric and categorical input attributes.<\/p>\n<p>Linear regression is a supervised learning technique that can be used to predict a continuous outcome. It can only be used to process numeric input attributes.<\/p>\n<p>Bayes classifier is a supervised learning technique that can be used to classify data into two or more classes. It can be used to process both numeric and categorical input attributes.<\/p>\n<p>Backpropagation learning is a supervised learning technique that is used to train artificial neural networks. It can only be used to process numeric input attributes.<\/p>\n<p>Here is a brief explanation of each option:<\/p>\n<ul>\n<li><strong>Linear regression<\/strong> is a supervised learning technique that can be used to predict a continuous outcome. It is a linear model, which means that it assumes that the relationship between the input variables and the output variable is linear. Linear regression can be used to fit a line to data, and the line can be used to make predictions for new data.<\/li>\n<li><strong>Bayes classifier<\/strong> is a supervised learning technique that can be used to classify data into two or more classes. It is a probabilistic model, which means that it assigns a probability to each class for each data point. Bayes classifier can be used to make predictions for new data, and the predictions can be used to classify the data.<\/li>\n<li><strong>Logistic regression<\/strong> is a supervised learning technique that can be used to predict the probability of a binary outcome. It is a linear model, which means that it assumes that the relationship between the input variables and the output variable is linear. Logistic regression can be used to fit a line to data, and the line can be used to make predictions for the probability of the binary outcome.<\/li>\n<li><strong>Backpropagation learning<\/strong> is a supervised learning technique that is used to train artificial neural networks. It is a backpropagation algorithm, which means that it adjusts the weights of the neural network in a way that minimizes the error between the predicted output and the actual output. Backpropagation learning can be used to train artificial neural networks to perform a variety of tasks, such as classification, regression, and pattern recognition.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>[amp_mcq option1=&#8221;linear regression&#8221; option2=&#8221;bayes classifier&#8221; option3=&#8221;logistic regression&#8221; option4=&#8221;backpropagation learning&#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-59078","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>This supervised learning technique can process both numeric and categorical input attributes.<\/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\/this-supervised-learning-technique-can-process-both-numeric-and-categorical-input-attributes\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"This supervised learning technique can process both numeric and categorical input attributes.\" \/>\n<meta property=\"og:description\" content=\"[amp_mcq option1=&#8221;linear regression&#8221; 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