{"id":478306,"date":"2023-08-09T09:30:44","date_gmt":"2023-08-09T09:30:44","guid":{"rendered":""},"modified":"2023-09-05T11:16:29","modified_gmt":"2023-09-05T11:16:29","slug":"overfitting-in-machine-learning","status":"publish","type":"wiki","link":"https:\/\/oneproxy.pro\/ar\/wiki\/overfitting-in-machine-learning\/","title":{"rendered":"\u0627\u0644\u0625\u0641\u0631\u0627\u0637 \u0641\u064a \u0627\u0644\u062a\u0639\u0644\u0645 \u0627\u0644\u0622\u0644\u064a"},"content":{"rendered":"<p>\u0645\u0639\u0644\u0648\u0645\u0627\u062a \u0645\u0648\u062c\u0632\u0629 \u062d\u0648\u0644 \u0627\u0644\u062a\u062c\u0647\u064a\u0632 \u0627\u0644\u0632\u0627\u0626\u062f \u0641\u064a \u0627\u0644\u062a\u0639\u0644\u0645 \u0627\u0644\u0622\u0644\u064a: \u064a\u0634\u064a\u0631 \u0627\u0644\u062a\u062c\u0647\u064a\u0632 \u0627\u0644\u0632\u0627\u0626\u062f \u0641\u064a \u0627\u0644\u062a\u0639\u0644\u0645 \u0627\u0644\u0622\u0644\u064a \u0625\u0644\u0649 \u062e\u0637\u0623 \u0641\u064a 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\u064a\u062a\u0639\u0644\u0642 \u0628\u0628\u064a\u0627\u0646\u0627\u062a \u0627\u0644\u062a\u062f\u0631\u064a\u0628.<\/li>\n<li><strong>\u062a\u0639\u0645\u064a\u0645 \u0636\u0639\u064a\u0641:<\/strong> \u064a\u0639\u0645\u0644 \u0627\u0644\u0646\u0645\u0648\u0630\u062c \u0628\u0634\u0643\u0644 \u0633\u064a\u0626 \u0639\u0644\u0649 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u063a\u064a\u0631 \u0627\u0644\u0645\u0631\u0626\u064a\u0629 \u0623\u0648 \u0627\u0644\u062c\u062f\u064a\u062f\u0629.<\/li>\n<li><strong>\u0646\u0645\u0627\u0630\u062c \u0645\u0639\u0642\u062f\u0629:<\/strong> \u0645\u0646 \u0627\u0644\u0645\u0631\u062c\u062d \u0623\u0646 \u064a\u062d\u062f\u062b \u0627\u0644\u0625\u0641\u0631\u0627\u0637 \u0641\u064a \u0627\u0644\u062a\u062c\u0647\u064a\u0632 \u0645\u0639 \u0627\u0644\u0646\u0645\u0627\u0630\u062c \u0627\u0644\u0645\u0639\u0642\u062f\u0629 \u063a\u064a\u0631 \u0627\u0644\u0636\u0631\u0648\u0631\u064a\u0629.<\/li>\n<\/ol>\n<h2>\u0623\u0646\u0648\u0627\u0639 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\u0647\u064a\u0643\u0644 \u0627\u0644\u0646\u0645\u0648\u0630\u062c \u0627\u0644\u0645\u062e\u062a\u0627\u0631 \u0645\u0639\u0642\u062f\u064b\u0627 \u0644\u0644\u063a\u0627\u064a\u0629.<\/li>\n<li><strong>\u062a\u062c\u0627\u0648\u0632 \u0627\u0644\u0636\u0648\u0636\u0627\u0621:<\/strong> \u0639\u0646\u062f\u0645\u0627 \u064a\u062a\u0639\u0644\u0645 \u0627\u0644\u0646\u0645\u0648\u0630\u062c \u0645\u0646 \u0627\u0644\u0636\u0648\u0636\u0627\u0621 \u0623\u0648 \u0627\u0644\u062a\u0642\u0644\u0628\u0627\u062a \u0627\u0644\u0639\u0634\u0648\u0627\u0626\u064a\u0629 \u0641\u064a \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a.<\/li>\n<\/ul>\n<table>\n<thead>\n<tr>\n<th>\u064a\u0643\u062a\u0628<\/th>\n<th>\u0648\u0635\u0641<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>\u062a\u062c\u0627\u0648\u0632 \u0627\u0644\u0645\u0639\u0644\u0645\u0629<\/td>\n<td>\u0645\u0639\u0644\u0645\u0627\u062a \u0645\u0639\u0642\u062f\u0629 \u0644\u0644\u063a\u0627\u064a\u0629\u060c \u0648\u062a\u0639\u0644\u0645 \u0627\u0644\u0636\u0648\u0636\u0627\u0621 \u0641\u064a \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a<\/td>\n<\/tr>\n<tr>\n<td>\u0627\u0644\u062a\u062c\u0647\u064a\u0632 \u0627\u0644\u0647\u064a\u0643\u0644\u064a<\/td>\n<td>\u0628\u0646\u064a\u0629 \u0627\u0644\u0646\u0645\u0648\u0630\u062c \u0645\u0639\u0642\u062f\u0629 \u0644\u0644\u063a\u0627\u064a\u0629 \u0628\u0627\u0644\u0646\u0633\u0628\u0629 \u0644\u0644\u0646\u0645\u0637 \u0627\u0644\u0623\u0633\u0627\u0633\u064a<\/td>\n<\/tr>\n<tr>\n<td>\u0627\u0644\u0625\u0641\u0631\u0627\u0637 \u0641\u064a \u0627\u0644\u0636\u0648\u0636\u0627\u0621<\/td>\n<td>\u062a\u0639\u0644\u0645 \u0627\u0644\u062a\u0642\u0644\u0628\u0627\u062a \u0627\u0644\u0639\u0634\u0648\u0627\u0626\u064a\u0629 \u064a\u0624\u062f\u064a \u0625\u0644\u0649 \u0633\u0648\u0621 \u0627\u0644\u062a\u0639\u0645\u064a\u0645<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>\u0637\u0631\u0642 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u062a\u062c\u0647\u064a\u0632 \u0627\u0644\u0632\u0627\u0626\u062f \u0641\u064a \u0627\u0644\u062a\u0639\u0644\u0645 \u0627\u0644\u0622\u0644\u064a \u0648\u0627\u0644\u0645\u0634\u0643\u0644\u0627\u062a \u0648\u062d\u0644\u0648\u0644\u0647\u0627<\/h2>\n<p>\u062a\u062a\u0636\u0645\u0646 \u0637\u0631\u0642 \u0645\u0639\u0627\u0644\u062c\u0629 \u0627\u0644\u062a\u062c\u0647\u064a\u0632 \u0627\u0644\u0632\u0627\u0626\u062f \u0645\u0627 \u064a\u0644\u064a:<\/p>\n<ul>\n<li><strong>\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u0645\u0632\u064a\u062f \u0645\u0646 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a:<\/strong> \u064a\u0633\u0627\u0639\u062f \u0627\u0644\u0646\u0645\u0648\u0630\u062c \u0639\u0644\u0649 \u0627\u0644\u062a\u0639\u0645\u064a\u0645 \u0628\u0634\u0643\u0644 \u0623\u0641\u0636\u0644.<\/li>\n<li><strong>\u062a\u0637\u0628\u064a\u0642 \u062a\u0642\u0646\u064a\u0627\u062a \u0627\u0644\u062a\u0646\u0638\u064a\u0645:<\/strong> \u0645\u062b\u0644 \u062a\u0646\u0638\u064a\u0645 L1 (Lasso) \u0648L2 (Ridge).<\/li>\n<li><strong>\u0639\u0628\u0631 \u0627\u0644\u0645\u0635\u0627\u062f\u0642\u0629:<\/strong> \u064a\u0633\u0627\u0639\u062f \u0641\u064a \u062a\u0642\u064a\u064a\u0645 \u0645\u062f\u0649 \u062c\u0648\u062f\u0629 \u062a\u0639\u0645\u064a\u0645 \u0627\u0644\u0646\u0645\u0648\u0630\u062c.<\/li>\n<li><strong>\u062a\u0628\u0633\u064a\u0637 \u0627\u0644\u0646\u0645\u0648\u0630\u062c:<\/strong> \u062a\u0642\u0644\u064a\u0644 \u0627\u0644\u062a\u0639\u0642\u064a\u062f \u0644\u0627\u0644\u062a\u0642\u0627\u0637 \u0627\u0644\u0646\u0645\u0637 \u0627\u0644\u0623\u0633\u0627\u0633\u064a \u0628\u0634\u0643\u0644 \u0623\u0641\u0636\u0644.<\/li>\n<\/ul>\n<h2>\u0627\u0644\u062e\u0635\u0627\u0626\u0635 \u0627\u0644\u0631\u0626\u064a\u0633\u064a\u0629 \u0648\u0645\u0642\u0627\u0631\u0646\u0627\u062a \u0623\u062e\u0631\u0649 \u0645\u0639 \u0645\u0635\u0637\u0644\u062d\u0627\u062a \u0645\u0645\u0627\u062b\u0644\u0629<\/h2>\n<table>\n<thead>\n<tr>\n<th>\u0634\u0631\u0637<\/th>\n<th>\u0635\u0641\u0627\u062a<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>\u0627\u0644\u062a\u062c\u0647\u064a\u0632 \u0627\u0644\u0632\u0627\u0626\u062f<\/td>\n<td>\u062f\u0642\u0629 \u062a\u062f\u0631\u064a\u0628 \u0639\u0627\u0644\u064a\u0629\u060c \u062a\u0639\u0645\u064a\u0645 \u0636\u0639\u064a\u0641<\/td>\n<\/tr>\n<tr>\n<td>\u063a\u064a\u0631 \u0645\u0646\u0627\u0633\u0628<\/td>\n<td>\u0627\u0646\u062e\u0641\u0627\u0636 \u062f\u0642\u0629 \u0627\u0644\u062a\u062f\u0631\u064a\u0628\u060c \u0648\u0636\u0639\u0641 \u0627\u0644\u062a\u0639\u0645\u064a\u0645<\/td>\n<\/tr>\n<tr>\n<td>\u0644\u064a\u0627\u0642\u0647 \u062c\u064a\u062f\u0647<\/td>\n<td>\u0627\u0644\u062a\u062f\u0631\u064a\u0628 \u0627\u0644\u0645\u062a\u0648\u0627\u0632\u0646 \u0648\u062f\u0642\u0629 \u0627\u0644\u062a\u062d\u0642\u0642 \u0645\u0646 \u0627\u0644\u0635\u062d\u0629<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>\u0648\u062c\u0647\u0627\u062a \u0646\u0638\u0631 \u0648\u062a\u0642\u0646\u064a\u0627\u062a \u0627\u0644\u0645\u0633\u062a\u0642\u0628\u0644 \u0627\u0644\u0645\u062a\u0639\u0644\u0642\u0629 \u0628\u0627\u0644\u062a\u062c\u0627\u0648\u0632 \u0641\u064a \u0627\u0644\u062a\u0639\u0644\u0645 \u0627\u0644\u0622\u0644\u064a<\/h2>\n<p>\u062a\u0631\u0643\u0632 \u0627\u0644\u0623\u0628\u062d\u0627\u062b \u0627\u0644\u0645\u0633\u062a\u0642\u0628\u0644\u064a\u0629 \u0641\u064a \u0627\u0644\u062a\u0639\u0644\u0645 \u0627\u0644\u0622\u0644\u064a \u0639\u0644\u0649 \u062a\u0642\u0646\u064a\u0627\u062a \u0627\u0644\u0643\u0634\u0641 \u0639\u0646 \u0627\u0644\u062a\u062c\u0627\u0648\u0632 \u0648\u062a\u0635\u062d\u064a\u062d\u0647 \u062a\u0644\u0642\u0627\u0626\u064a\u064b\u0627 \u0645\u0646 \u062e\u0644\u0627\u0644 \u0623\u0633\u0627\u0644\u064a\u0628 \u0627\u0644\u062a\u0639\u0644\u0645 \u0627\u0644\u062a\u0643\u064a\u0641\u064a\u0629 \u0648\u0627\u062e\u062a\u064a\u0627\u0631 \u0627\u0644\u0646\u0645\u0648\u0630\u062c \u0627\u0644\u062f\u064a\u0646\u0627\u0645\u064a\u0643\u064a. \u064a\u0639\u062f \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u062a\u0642\u0646\u064a\u0627\u062a \u0627\u0644\u062a\u0646\u0638\u064a\u0645 \u0627\u0644\u0645\u062a\u0642\u062f\u0645\u0629 \u0648\u0627\u0644\u062a\u0639\u0644\u0645 \u0627\u0644\u062c\u0645\u0627\u0639\u064a \u0648\u0627\u0644\u062a\u0639\u0644\u0645 \u0627\u0644\u062a\u0644\u0648\u064a \u0645\u062c\u0627\u0644\u0627\u062a \u0648\u0627\u0639\u062f\u0629 \u0644\u0645\u0648\u0627\u062c\u0647\u0629 \u0627\u0644\u062a\u062c\u0627\u0648\u0632 \u0627\u0644\u0632\u0627\u0626\u062f.<\/p>\n<h2>\u0643\u064a\u0641 \u064a\u0645\u0643\u0646 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u062e\u0648\u0627\u062f\u0645 \u0627\u0644\u0648\u0643\u064a\u0644\u0629 \u0623\u0648 \u0631\u0628\u0637\u0647\u0627 \u0628\u0627\u0644\u062a\u062c\u0647\u064a\u0632 \u0627\u0644\u0632\u0627\u0626\u062f \u0641\u064a \u0627\u0644\u062a\u0639\u0644\u0645 \u0627\u0644\u0622\u0644\u064a<\/h2>\n<p>\u064a\u0645\u0643\u0646 \u0644\u0644\u062e\u0648\u0627\u062f\u0645 \u0627\u0644\u0648\u0643\u064a\u0644\u0629\u060c \u0645\u062b\u0644 \u062a\u0644\u0643 \u0627\u0644\u062a\u064a \u062a\u0648\u0641\u0631\u0647\u0627 OneProxy\u060c \u0623\u0646 \u062a\u0644\u0639\u0628 \u062f\u0648\u0631\u064b\u0627 \u0641\u064a \u0645\u0643\u0627\u0641\u062d\u0629 \u0627\u0644\u062a\u062c\u0647\u064a\u0632 \u0627\u0644\u0632\u0627\u0626\u062f \u0645\u0646 \u062e\u0644\u0627\u0644 \u0627\u0644\u0633\u0645\u0627\u062d \u0628\u0627\u0644\u0648\u0635\u0648\u0644 \u0625\u0644\u0649 \u0645\u062c\u0645\u0648\u0639\u0627\u062a \u0628\u064a\u0627\u0646\u0627\u062a \u0623\u0643\u0628\u0631 \u0648\u0623\u0643\u062b\u0631 \u062a\u0646\u0648\u0639\u064b\u0627. \u0648\u0645\u0646 \u062e\u0644\u0627\u0644 \u062c\u0645\u0639 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0645\u0646 \u0645\u0635\u0627\u062f\u0631 \u0648\u0645\u0648\u0627\u0642\u0639 \u0645\u062e\u062a\u0644\u0641\u0629\u060c \u064a\u0645\u0643\u0646 \u0625\u0646\u0634\u0627\u0621 \u0646\u0645\u0648\u0630\u062c \u0623\u0643\u062b\u0631 \u0642\u0648\u0629 \u0648\u062a\u0639\u0645\u064a\u0645\u064b\u0627\u060c \u0645\u0645\u0627 \u064a\u0642\u0644\u0644 \u0645\u0646 \u0645\u062e\u0627\u0637\u0631 \u0627\u0644\u062a\u062c\u0647\u064a\u0632 \u0627\u0644\u0632\u0627\u0626\u062f.<\/p>\n<h2>\u0631\u0648\u0627\u0628\u0637 \u0630\u0627\u062a \u0639\u0644\u0627\u0642\u0629<\/h2>\n<ul>\n<li><a href=\"https:\/\/web.stanford.edu\/~hastie\/ElemStatLearn\/\" target=\"_new\" rel=\"noopener nofollow\">\u0639\u0646\u0627\u0635\u0631 \u0627\u0644\u062a\u0639\u0644\u0645 \u0627\u0644\u0625\u062d\u0635\u0627\u0626\u064a<\/a><\/li>\n<li><a href=\"https:\/\/www.overfittingguide.com\" target=\"_new\" rel=\"noopener nofollow\">\u0641\u0647\u0645 \u0627\u0644\u062a\u062c\u0647\u064a\u0632 \u0627\u0644\u0632\u0627\u0626\u062f: \u062f\u0644\u064a\u0644 \u0628\u062f\u064a\u0647\u064a<\/a><\/li>\n<li><a href=\"https:\/\/oneproxy.pro\/ar\/\" target=\"_new\" rel=\"noopener\">OneProxy: \u062a\u0645\u0643\u064a\u0646 \u062c\u0645\u0639 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0644\u0644\u0646\u0645\u0627\u0630\u062c \u0627\u0644\u0642\u0648\u064a\u0629<\/a><\/li>\n<\/ul>","protected":false},"featured_media":469095,"menu_order":0,"template":"","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"class_list":["post-478306","wiki","type-wiki","status-publish","has-post-thumbnail","hentry"],"acf":{"faq_title":"Frequently Asked Questions about <mark>Overfitting in Machine Learning<\/mark>","faq_items":[{"question":"What is Overfitting in Machine Learning?","answer":"<p>Overfitting in machine learning refers to a modeling error where a function fits too closely to a limited set of data points. It leads to high accuracy on training data but poor performance on unseen data, as the model becomes specialized in predicting the training data but fails to generalize.<\/p>"},{"question":"How Did the Concept of Overfitting Originate?","answer":"<p>The concept of overfitting has its roots in statistical modeling and gained prominence in the 1970s with the advent of more complex algorithms. It has been a central concern in various works, such as \"The Elements of Statistical Learning.\"<\/p>"},{"question":"What Causes Overfitting in Machine Learning Models?","answer":"<p>Overfitting can be caused by factors such as overly complex models with too many parameters, limited data that lead to spurious correlations, and lack of regularization, which helps in controlling the complexity of the model.<\/p>"},{"question":"What Are the Different Types of Overfitting?","answer":"<p>Overfitting can manifest as Parameter Overfitting (overly complex parameters), Structural Overfitting (overly complex model structure), or Noise Overfitting (learning random fluctuations).<\/p>"},{"question":"How Can Overfitting Be Prevented or Addressed?","answer":"<p>Preventing overfitting involves strategies like using more data, applying regularization techniques like L1 and L2, using cross-validation, and simplifying the model to reduce complexity.<\/p>"},{"question":"How is Overfitting Different from Underfitting and a Good Fit?","answer":"<p>Overfitting is characterized by high training accuracy but poor generalization. Underfitting has low training and validation accuracy, and a Good Fit represents a balance between training and validation accuracy.<\/p>"},{"question":"What are the Future Perspectives on Overfitting?","answer":"<p>Future perspectives include research in techniques to automatically detect and correct overfitting through adaptive learning, advanced regularization, ensemble learning, and meta-learning.<\/p>"},{"question":"How Can Proxy Servers like OneProxy Be Associated with Overfitting?","answer":"<p>Proxy servers like OneProxy can help in combating overfitting by allowing access to larger, more diverse datasets. Collecting data from various sources and locations can create a more generalized model, reducing the risk of overfitting.<\/p>"}]},"_links":{"self":[{"href":"https:\/\/oneproxy.pro\/ar\/wp-json\/wp\/v2\/wiki\/478306","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/oneproxy.pro\/ar\/wp-json\/wp\/v2\/wiki"}],"about":[{"href":"https:\/\/oneproxy.pro\/ar\/wp-json\/wp\/v2\/types\/wiki"}],"version-history":[{"count":0,"href":"https:\/\/oneproxy.pro\/ar\/wp-json\/wp\/v2\/wiki\/478306\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/oneproxy.pro\/ar\/wp-json\/wp\/v2\/media\/469095"}],"wp:attachment":[{"href":"https:\/\/oneproxy.pro\/ar\/wp-json\/wp\/v2\/media?parent=478306"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}