{"id":51161,"date":"2024-04-15T23:20:48","date_gmt":"2024-04-15T23:20:48","guid":{"rendered":"https:\/\/exam.pscnotes.com\/mcq\/?p=51161"},"modified":"2024-04-15T23:20:48","modified_gmt":"2024-04-15T23:20:48","slug":"what-is-the-term-for-a-machine-learning-technique-that-involves-training-models-on-multiple-subsets-of-the-data-and-combining-their-predictions","status":"publish","type":"post","link":"https:\/\/exam.pscnotes.com\/mcq\/what-is-the-term-for-a-machine-learning-technique-that-involves-training-models-on-multiple-subsets-of-the-data-and-combining-their-predictions\/","title":{"rendered":"What is the term for a machine learning technique that involves training models on multiple subsets of the data and combining their predictions?"},"content":{"rendered":"<p>[amp_mcq option1=&#8221;Feature engineering&#8221; option2=&#8221;Regularization&#8221; option3=&#8221;Clustering&#8221; option4=&#8221;Ensemble learning&#8221; correct=&#8221;option4&#8243;]<!--more--><\/p>\n<p>The correct answer is D. Ensemble learning.<\/p>\n<p>Ensemble learning is a machine learning technique that involves training multiple models on the same data set and then combining their predictions to produce a more accurate result. This can be done in a number of ways, such as by averaging the predictions of the individual models or by using a voting scheme.<\/p>\n<p>Ensemble learning can be more accurate than any of the individual models in the ensemble, and it can also be more robust to noise in the data. This makes it a valuable tool for a variety of machine learning tasks.<\/p>\n<p>Here is a brief explanation of each of the options:<\/p>\n<ul>\n<li>Feature engineering is the process of identifying and selecting features from a data set that are relevant to the task at hand. This can be a complex and time-consuming process, but it can be essential for achieving good results in machine learning.<\/li>\n<li>Regularization is a technique that is used to prevent overfitting in machine learning models. This can be done by adding a penalty term to the loss function that discourages the model from becoming too complex.<\/li>\n<li>Clustering is a technique that is used to group data points together based on their similarity. This can be used for a variety of tasks, such as data visualization and anomaly detection.<\/li>\n<\/ul>\n<p>I hope this helps! Let me know if you have any other questions.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>[amp_mcq option1=&#8221;Feature engineering&#8221; option2=&#8221;Regularization&#8221; option3=&#8221;Clustering&#8221; option4=&#8221;Ensemble learning&#8221; correct=&#8221;option4&#8243;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[738],"tags":[],"class_list":["post-51161","post","type-post","status-publish","format-standard","hentry","category-data-science-miscellaneous","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 term for a machine learning technique that involves training models on multiple subsets of the data and combining their predictions?<\/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-the-term-for-a-machine-learning-technique-that-involves-training-models-on-multiple-subsets-of-the-data-and-combining-their-predictions\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"What is the term for a machine learning technique that involves training models on multiple subsets of the data and combining their predictions?\" \/>\n<meta property=\"og:description\" content=\"[amp_mcq option1=&#8221;Feature engineering&#8221; 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