{"id":48619,"date":"2024-04-15T22:43:54","date_gmt":"2024-04-15T22:43:54","guid":{"rendered":"https:\/\/exam.pscnotes.com\/mcq\/?p=48619"},"modified":"2024-04-15T22:43:54","modified_gmt":"2024-04-15T22:43:54","slug":"dataset-with-many-features-contains-information-proportional-to-the-independence-of-all-features-and-their-variance","status":"publish","type":"post","link":"https:\/\/exam.pscnotes.com\/mcq\/dataset-with-many-features-contains-information-proportional-to-the-independence-of-all-features-and-their-variance\/","title":{"rendered":". . . . . . . . dataset with many features contains information proportional to the independence of all features and their variance."},"content":{"rendered":"<p>\r\n    <!-- Check if it's an AMP page -->\r\n            <!-- Non-AMP version -->\r\n        <div class=\"mcq-container\" data-quiz-id=\"quizState_6a9820d19b8e8\">\r\n                                            <div class=\"option\" data-option-key=\"option1\" data-is-correct=\"true\">\r\n                    normalized                <\/div>\r\n                                            <div class=\"option\" data-option-key=\"option2\" data-is-correct=\"false\">\r\n                    unnormalized                <\/div>\r\n                                            <div class=\"option\" data-option-key=\"option3\" data-is-correct=\"false\">\r\n                    Both A and B                <\/div>\r\n                                            <div class=\"option\" data-option-key=\"option4\" data-is-correct=\"false\">\r\n                    None of the Mentioned                <\/div>\r\n                            \r\n            <!-- Feedback messages for non-AMP -->\r\n            <div class=\"feedback\" data-feedback=\"wrong\">Answer is Right!<\/div>\r\n            <div class=\"feedback\" data-feedback=\"right\">Answer is Wrong!<\/div>\r\n        <\/div>\r\n\r\n        <script>\r\n        document.addEventListener('DOMContentLoaded', function () {\r\n            var containers = document.querySelectorAll('.mcq-container');\r\n\r\n            containers.forEach(function(container) {\r\n                var options = container.querySelectorAll('.option');\r\n                var feedbackSelect = container.querySelector('[data-feedback=\"select\"]');\r\n                var feedbackWrong = container.querySelector('[data-feedback=\"wrong\"]');\r\n                var feedbackRight = container.querySelector('[data-feedback=\"right\"]');\r\n\r\n                options.forEach(function(option) {\r\n                    option.addEventListener('click', function() {\r\n                        var selectedOption = option.getAttribute('data-option-key');\r\n                        var isCorrect = option.getAttribute('data-is-correct') === 'true';\r\n\r\n                        \/\/ Remove previous selections\r\n                        options.forEach(function(opt) {\r\n                            opt.classList.remove('correct', 'incorrect');\r\n                        });\r\n\r\n                        \/\/ Add the correct\/incorrect class\r\n                        if (isCorrect) {\r\n                            option.classList.add('correct');\r\n                            feedbackRight.hidden = false;\r\n                            feedbackWrong.hidden = true;\r\n                        } else {\r\n                            option.classList.add('incorrect');\r\n                            feedbackRight.hidden = true;\r\n                            feedbackWrong.hidden = false;\r\n                        }\r\n\r\n                        \/\/ Hide select feedback\r\n                        feedbackSelect.hidden = true;\r\n                    });\r\n                });\r\n            });\r\n        });\r\n        <\/script>\r\n    \r\n    <!--more--><\/p>\n<p>The correct answer is: <strong>A. normalized<\/strong><\/p>\n<p>A normalized dataset is a dataset where all features have been scaled to have a mean of 0 and a standard deviation of 1. This makes it easier to compare the values of different features and to identify which features are most important.<\/p>\n<p>A dataset with many features contains information proportional to the independence of all features and their variance. This means that the more independent the features are, and the higher their variance, the more information the dataset contains.<\/p>\n<p>Normalization helps to improve the independence of features by removing any bias that may be present in the data. It also helps to improve the variance of features by making sure that all features have a similar range of values. This makes it easier to identify which features are most important and to compare the values of different features.<\/p>\n<p>Here is a brief explanation of each option:<\/p>\n<ul>\n<li>\n<p><strong>A. normalized<\/strong><br \/>\nA normalized dataset is a dataset where all features have been scaled to have a mean of 0 and a standard deviation of 1. This makes it easier to compare the values of different features and to identify which features are most important.<\/p>\n<\/li>\n<li>\n<p><strong>B. unnormalized<\/strong><br \/>\nAn unnormalized dataset is a dataset where the features have not been scaled. This can make it difficult to compare the values of different features and to identify which features are most important.<\/p>\n<\/li>\n<li>\n<p><strong>C. Both A and B<\/strong><br \/>\nA dataset can be both normalized and unnormalized. This means that some features may have been scaled while others have not. This can make it difficult to compare the values of different features and to identify which features are most important.<\/p>\n<\/li>\n<li>\n<p><strong>D. None of the Mentioned<\/strong><br \/>\nNone of the options <div class=\"youtube-subscribe-container\">\r\n        <a href=\"https:\/\/www.youtube.com\/channel\/UCNHT8lW-JmLC68rjBfZhdkg?sub_confirmation=1\" target=\"_blank\" class=\"youtube-subscribe-button\">\r\n            <span class=\"youtube-icon\">\r\n                <svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 576 512\">\r\n           <div class=\"telegram-channel-container\">\r\n        <a href=\"https:\/\/t.me\/pscnotes2025\" target=\"_blank\" class=\"telegram-channel-button\">\r\n            <span class=\"telegram-icon\">\r\n                <svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 496 512\">\r\n                    <path fill=\"white\" d=\"M248,8C111,8,0,119,0,256s111,248,248,248s248-111,248-248S385,8,248,8z M362,177L320,367c-3,14-10,18-20,14l-56-41l-27,26 c-3,3-5,5-10,5l4-63L323,196c5-5-1-7-8-3l-98,62l-42-13c-9-3-10-9,2-14l162-63C351,160,365,164,362,177z\"\/>\r\n                <\/svg>\r\n            <\/span>\r\n            Join Our Telegram Channel\r\n        <\/a>\r\n    <\/div>          <path d=\"M549.7 124.1c-6.3-23.7-24.8-42.3-48.3-48.6C458.8 64 288 64 288 64S117.2 64 74.6 75.5c-23.5 6.3-42 24.9-48.3 48.6-11.4 42.9-11.4 132.3-11.4 132.3s0 89.4 11.4 132.3c6.3 23.7 24.8 41.5 48.3 47.8C117.2 448 288 448 288 448s170.8 0 213.4-11.5c23.5-6.3 42-24.2 48.3-47.8 11.4-42.9 11.4-132.3 11.4-132.3s0-89.4-11.4-132.3zm-317.5 213.5V175.2l142.7 81.2-142.7 81.2z\"\/>\r\n                <\/svg>\r\n            <\/span>\r\n            Subscribe on YouTube\r\n        <\/a>\r\n    <\/div> mentioned above is correct. The correct answer is: <strong>A. normalized<\/strong><\/p>\n<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Join Our Telegram Channel Subscribe on YouTube<\/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":[],"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>. . . . . . . . dataset with many features contains information proportional to the independence of all features and their variance.<\/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\/dataset-with-many-features-contains-information-proportional-to-the-independence-of-all-features-and-their-variance\/\" \/>\n<meta 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