{"id":14088,"date":"2024-01-04T02:20:15","date_gmt":"2024-01-03T22:50:15","guid":{"rendered":"https:\/\/rasanegar.com\/blog\/%d8%b1%d8%a7%d9%87%d9%86%d9%85%d8%a7%db%8c-%d8%a7%d9%84%da%af%d9%88%d8%b1%db%8c%d8%aa%d9%85-k-nearest-neighbors-%d8%af%d8%b1-python-%d9%88-scikit-learn\/"},"modified":"2024-01-04T02:20:15","modified_gmt":"2024-01-03T22:50:15","slug":"%d8%b1%d8%a7%d9%87%d9%86%d9%85%d8%a7%db%8c-%d8%a7%d9%84%da%af%d9%88%d8%b1%db%8c%d8%aa%d9%85-k-nearest-neighbors-%d8%af%d8%b1-python-%d9%88-scikit-learn","status":"publish","type":"post","link":"https:\/\/rasanegaar.com\/blog\/%d8%b1%d8%a7%d9%87%d9%86%d9%85%d8%a7%db%8c-%d8%a7%d9%84%da%af%d9%88%d8%b1%db%8c%d8%aa%d9%85-k-nearest-neighbors-%d8%af%d8%b1-python-%d9%88-scikit-learn\/","title":{"rendered":"\u0631\u0627\u0647\u0646\u0645\u0627\u06cc \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 K-Nearest Neighbors \u062f\u0631 Python \u0648 Scikit-Learn"},"content":{"rendered":"<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_85 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href=\"https:\/\/rasanegaar.com\/blog\/%d8%b1%d8%a7%d9%87%d9%86%d9%85%d8%a7%db%8c-%d8%a7%d9%84%da%af%d9%88%d8%b1%db%8c%d8%aa%d9%85-k-nearest-neighbors-%d8%af%d8%b1-python-%d9%88-scikit-learn\/#%d9%85%d8%ac%d9%85%d9%88%d8%b9%d9%87_%d8%af%d8%a7%d8%af%d9%87_%d9%87%d8%a7%db%8c_%d9%85%d8%b3%da%a9%d9%86_%da%a9%d8%a7%d9%84%db%8c%d9%81%d8%b1%d9%86%db%8c%d8%a7_scikit-learn\" >\u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0645\u0633\u06a9\u0646 \u06a9\u0627\u0644\u06cc\u0641\u0631\u0646\u06cc\u0627 Scikit-Learn<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%b1%d8%a7%d9%87%d9%86%d9%85%d8%a7%db%8c-%d8%a7%d9%84%da%af%d9%88%d8%b1%db%8c%d8%aa%d9%85-k-nearest-neighbors-%d8%af%d8%b1-python-%d9%88-scikit-learn\/#%d8%b1%da%af%d8%b1%d8%b3%db%8c%d9%88%d9%86_%d8%a8%d8%a7_k-%d9%86%d8%b2%d8%af%db%8c%da%a9%d8%aa%d8%b1%db%8c%d9%86_%d9%87%d9%85%d8%b3%d8%a7%db%8c%da%af%d8%a7%d9%86_%d8%a8%d8%a7_scikit-learn\" >\u0631\u06af\u0631\u0633\u06cc\u0648\u0646 \u0628\u0627 K-\u0646\u0632\u062f\u06cc\u06a9\u062a\u0631\u06cc\u0646 \u0647\u0645\u0633\u0627\u06cc\u06af\u0627\u0646 \u0628\u0627 Scikit-Learn<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%b1%d8%a7%d9%87%d9%86%d9%85%d8%a7%db%8c-%d8%a7%d9%84%da%af%d9%88%d8%b1%db%8c%d8%aa%d9%85-k-nearest-neighbors-%d8%af%d8%b1-python-%d9%88-scikit-learn\/#%d9%be%db%8c%d8%b4_%d9%be%d8%b1%d8%af%d8%a7%d8%b2%d8%b4_%d8%af%d8%a7%d8%af%d9%87_%d9%87%d8%a7_%d8%a8%d8%b1%d8%a7%db%8c_%d8%b1%da%af%d8%b1%d8%b3%db%8c%d9%88%d9%86_knn\" >\u067e\u06cc\u0634 \u067e\u0631\u062f\u0627\u0632\u0634 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0628\u0631\u0627\u06cc \u0631\u06af\u0631\u0633\u06cc\u0648\u0646 KNN<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%b1%d8%a7%d9%87%d9%86%d9%85%d8%a7%db%8c-%d8%a7%d9%84%da%af%d9%88%d8%b1%db%8c%d8%aa%d9%85-k-nearest-neighbors-%d8%af%d8%b1-python-%d9%88-scikit-learn\/#%d8%aa%d9%82%d8%b3%db%8c%d9%85_%d8%af%d8%a7%d8%af%d9%87_%d9%87%d8%a7_%d8%a8%d9%87_%d9%85%d8%ac%d9%85%d9%88%d8%b9%d9%87_%d9%87%d8%a7%db%8c_%d9%82%d8%b7%d8%a7%d8%b1_%d9%88_%d8%aa%d8%b3%d8%aa\" >\u062a\u0642\u0633\u06cc\u0645 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0628\u0647 \u0645\u062c\u0645\u0648\u0639\u0647 \u0647\u0627\u06cc \u0642\u0637\u0627\u0631 \u0648 \u062a\u0633\u062a<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-9\" 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href=\"https:\/\/rasanegaar.com\/blog\/%d8%b1%d8%a7%d9%87%d9%86%d9%85%d8%a7%db%8c-%d8%a7%d9%84%da%af%d9%88%d8%b1%db%8c%d8%aa%d9%85-k-nearest-neighbors-%d8%af%d8%b1-python-%d9%88-scikit-learn\/#%d9%85%d9%82%db%8c%d8%a7%d8%b3_%d8%a8%d9%86%d8%af%db%8c_%d9%88%db%8c%da%98%da%af%db%8c_%d8%a8%d8%b1%d8%a7%db%8c_%d8%b7%d8%a8%d9%82%d9%87_%d8%a8%d9%86%d8%af%db%8c\" >\u0645\u0642\u06cc\u0627\u0633 \u0628\u0646\u062f\u06cc \u0648\u06cc\u0698\u06af\u06cc \u0628\u0631\u0627\u06cc \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-17\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%b1%d8%a7%d9%87%d9%86%d9%85%d8%a7%db%8c-%d8%a7%d9%84%da%af%d9%88%d8%b1%db%8c%d8%aa%d9%85-k-nearest-neighbors-%d8%af%d8%b1-python-%d9%88-scikit-learn\/#%d8%a2%d9%85%d9%88%d8%b2%d8%b4_%d9%88_%d9%be%db%8c%d8%b4_%d8%a8%db%8c%d9%86%db%8c_%d8%a8%d8%b1%d8%a7%db%8c_%d8%b7%d8%a8%d9%82%d9%87_%d8%a8%d9%86%d8%af%db%8c\" >\u0622\u0645\u0648\u0632\u0634 \u0648 \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0628\u0631\u0627\u06cc \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-18\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%b1%d8%a7%d9%87%d9%86%d9%85%d8%a7%db%8c-%d8%a7%d9%84%da%af%d9%88%d8%b1%db%8c%d8%aa%d9%85-k-nearest-neighbors-%d8%af%d8%b1-python-%d9%88-scikit-learn\/#%d8%a7%d8%b1%d8%b2%db%8c%d8%a7%d8%a8%db%8c_knn_%d8%a8%d8%b1%d8%a7%db%8c_%d8%b7%d8%a8%d9%82%d9%87_%d8%a8%d9%86%d8%af%db%8c\" >\u0627\u0631\u0632\u06cc\u0627\u0628\u06cc KNN \u0628\u0631\u0627\u06cc \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-19\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%b1%d8%a7%d9%87%d9%86%d9%85%d8%a7%db%8c-%d8%a7%d9%84%da%af%d9%88%d8%b1%db%8c%d8%aa%d9%85-k-nearest-neighbors-%d8%af%d8%b1-python-%d9%88-scikit-learn\/#%db%8c%d8%a7%d9%81%d8%aa%d9%86_%d8%a8%d9%87%d8%aa%d8%b1%db%8c%d9%86_k_%d8%a8%d8%b1%d8%a7%db%8c_%d8%b7%d8%a8%d9%82%d9%87_%d8%a8%d9%86%d8%af%db%8c_knn\" >\u06cc\u0627\u0641\u062a\u0646 \u0628\u0647\u062a\u0631\u06cc\u0646 K \u0628\u0631\u0627\u06cc \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc KNN<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-20\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%b1%d8%a7%d9%87%d9%86%d9%85%d8%a7%db%8c-%d8%a7%d9%84%da%af%d9%88%d8%b1%db%8c%d8%aa%d9%85-k-nearest-neighbors-%d8%af%d8%b1-python-%d9%88-scikit-learn\/#%d9%be%db%8c%d8%a7%d8%af%d9%87%e2%80%8c%d8%b3%d8%a7%d8%b2%db%8c_knn_%d8%a8%d8%b1%d8%a7%db%8c_%d8%aa%d8%b4%d8%ae%db%8c%d8%b5_%d8%a8%db%8c%d8%b1%d9%88%d9%86%db%8c_%d8%a8%d8%a7_scikit-learn\" >\u067e\u06cc\u0627\u062f\u0647\u200c\u0633\u0627\u0632\u06cc KNN \u0628\u0631\u0627\u06cc \u062a\u0634\u062e\u06cc\u0635 \u0628\u06cc\u0631\u0648\u0646\u06cc \u0628\u0627 Scikit-Learn<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-21\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%b1%d8%a7%d9%87%d9%86%d9%85%d8%a7%db%8c-%d8%a7%d9%84%da%af%d9%88%d8%b1%db%8c%d8%aa%d9%85-k-nearest-neighbors-%d8%af%d8%b1-python-%d9%88-scikit-learn\/#%d9%85%d8%b2%d8%a7%db%8c%d8%a7_%d9%88_%d9%85%d8%b9%d8%a7%db%8c%d8%a8_knn\" >\u0645\u0632\u0627\u06cc\u0627 \u0648 \u0645\u0639\u0627\u06cc\u0628 KNN<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-22\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%b1%d8%a7%d9%87%d9%86%d9%85%d8%a7%db%8c-%d8%a7%d9%84%da%af%d9%88%d8%b1%db%8c%d8%aa%d9%85-k-nearest-neighbors-%d8%af%d8%b1-python-%d9%88-scikit-learn\/#%d8%b7%d8%b1%d9%81%d8%af%d8%a7%d8%b1%d8%a7%d9%86\" >\u0637\u0631\u0641\u062f\u0627\u0631\u0627\u0646<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-23\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%b1%d8%a7%d9%87%d9%86%d9%85%d8%a7%db%8c-%d8%a7%d9%84%da%af%d9%88%d8%b1%db%8c%d8%aa%d9%85-k-nearest-neighbors-%d8%af%d8%b1-python-%d9%88-scikit-learn\/#%d9%85%d9%86%d9%81%db%8c\" >\u0645\u0646\u0641\u06cc<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-24\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%b1%d8%a7%d9%87%d9%86%d9%85%d8%a7%db%8c-%d8%a7%d9%84%da%af%d9%88%d8%b1%db%8c%d8%aa%d9%85-k-nearest-neighbors-%d8%af%d8%b1-python-%d9%88-scikit-learn\/#%d9%86%d8%aa%db%8c%d8%ac%d9%87\" >\u0646\u062a\u06cc\u062c\u0647<\/a><\/li><\/ul><\/nav><\/div>\n<span class=\"span-reading-time rt-reading-time\" style=\"display: block;\"><span class=\"rt-label rt-prefix\">\u0632\u0645\u0627\u0646 \u0644\u0627\u0632\u0645 \u0628\u0631\u0627\u06cc \u0645\u0637\u0627\u0644\u0639\u0647: <\/span> <span class=\"rt-time\"> 24<\/span> <span class=\"rt-label rt-postfix\">\u062f\u0642\u06cc\u0642\u0647<\/span><\/span><p> <br \/>\n<\/p>\n<div><noscript><\/noscript><\/p>\n<h2 id=\"introduction\"><span class=\"ez-toc-section\" id=\"%d9%85%d8%b9%d8%b1%d9%81%db%8c\"><\/span>\u0645\u0639\u0631\u0641\u06cc<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u0627\u06cc\u0646 <strong><em>K-\u0646\u0632\u062f\u06cc\u06a9\u062a\u0631\u06cc\u0646 \u0647\u0645\u0633\u0627\u06cc\u0647 (KNN)<\/em><\/strong>  \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u0646\u0648\u0639\u06cc \u0627\u0632 \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646\u06cc \u0646\u0638\u0627\u0631\u062a \u0634\u062f\u0647 \u0627\u0633\u062a \u06a9\u0647 \u0628\u0631\u0627\u06cc \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc\u060c \u0631\u06af\u0631\u0633\u06cc\u0648\u0646 \u0648 \u0647\u0645\u0686\u0646\u06cc\u0646 \u062a\u0634\u062e\u06cc\u0635 \u0645\u0648\u0627\u0631\u062f \u062f\u0648\u0631 \u0627\u0632 \u062f\u0633\u062a\u0631\u0633 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u0634\u0648\u062f.  \u0627\u062c\u0631\u0627\u06cc \u0622\u0646 \u062f\u0631 \u0627\u0628\u062a\u062f\u0627\u06cc\u06cc \u062a\u0631\u06cc\u0646 \u0634\u06a9\u0644 \u0622\u0646 \u0628\u0633\u06cc\u0627\u0631 \u0622\u0633\u0627\u0646 \u0627\u0633\u062a \u0627\u0645\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646\u062f \u06a9\u0627\u0631\u0647\u0627\u06cc \u0646\u0633\u0628\u062a\u0627\u064b \u067e\u06cc\u0686\u06cc\u062f\u0647 \u0627\u06cc \u0631\u0627 \u0627\u0646\u062c\u0627\u0645 \u062f\u0647\u062f.  \u0627\u06cc\u0646 \u06cc\u06a9 \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u062a\u0646\u0628\u0644 \u0627\u0633\u062a \u0632\u06cc\u0631\u0627 \u0641\u0627\u0632 \u0622\u0645\u0648\u0632\u0634\u06cc \u062a\u062e\u0635\u0635\u06cc \u0646\u062f\u0627\u0631\u062f.  \u062f\u0631 \u0639\u0648\u0636\u060c \u0627\u0632 \u062a\u0645\u0627\u0645 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0628\u0631\u0627\u06cc \u0622\u0645\u0648\u0632\u0634 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u06a9\u0646\u062f\u060c \u062f\u0631 \u062d\u0627\u0644\u06cc \u06a9\u0647 \u06cc\u06a9 \u0646\u0642\u0637\u0647 \u06cc\u0627 \u0646\u0645\u0648\u0646\u0647 \u062f\u0627\u062f\u0647 \u062c\u062f\u06cc\u062f \u0631\u0627 \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc (\u06cc\u0627 \u067e\u0633\u0631\u0641\u062a) \u0645\u06cc \u06a9\u0646\u062f.<\/p>\n<p>KNN \u06cc\u06a9 \u0627\u0633\u062a <em>\u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0646\u0627\u067e\u0627\u0631\u0627\u0645\u062a\u0631\u06cc\u06a9<\/em>\u060c \u0628\u0647 \u0627\u06cc\u0646 \u0645\u0639\u0646\u06cc \u06a9\u0647 \u0686\u06cc\u0632\u06cc \u062f\u0631 \u0645\u0648\u0631\u062f \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0627\u0633\u0627\u0633\u06cc \u0641\u0631\u0636 \u0646\u0645\u06cc \u06a9\u0646\u062f.  \u0627\u06cc\u0646 \u06cc\u06a9 \u0648\u06cc\u0698\u06af\u06cc \u0628\u0633\u06cc\u0627\u0631 \u0645\u0641\u06cc\u062f \u0627\u0633\u062a \u0632\u06cc\u0631\u0627 \u0628\u06cc\u0634\u062a\u0631 \u062f\u0627\u062f\u0647\u200c\u0647\u0627\u06cc \u062f\u0646\u06cc\u0627\u06cc \u0648\u0627\u0642\u0639\u06cc \u0648\u0627\u0642\u0639\u0627\u064b \u0627\u0632 \u0647\u06cc\u0686 \u0641\u0631\u0636 \u0646\u0638\u0631\u06cc \u067e\u06cc\u0631\u0648\u06cc \u0646\u0645\u06cc\u200c\u06a9\u0646\u0646\u062f\u060c \u0645\u0627\u0646\u0646\u062f \u062c\u062f\u0627\u06cc\u06cc\u200c\u067e\u0630\u06cc\u0631\u06cc \u062e\u0637\u06cc\u060c \u062a\u0648\u0632\u06cc\u0639 \u06cc\u06a9\u0646\u0648\u0627\u062e\u062a \u0648 \u063a\u06cc\u0631\u0647.<\/p>\n<blockquote>\n<p>\u062f\u0631 \u0627\u06cc\u0646 \u0631\u0627\u0647\u0646\u0645\u0627\u060c \u062e\u0648\u0627\u0647\u06cc\u0645 \u062f\u06cc\u062f \u06a9\u0647 \u0686\u06af\u0648\u0646\u0647 KNN \u0631\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646 \u0628\u0627 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 Scikit-Learn \u067e\u0627\u06cc\u062a\u0648\u0646 \u067e\u06cc\u0627\u062f\u0647 \u0633\u0627\u0632\u06cc \u06a9\u0631\u062f.  \u0642\u0628\u0644 \u0627\u0632 \u0622\u0646\u060c \u0627\u0628\u062a\u062f\u0627 \u0686\u06af\u0648\u0646\u06af\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 KNN \u0648 \u062a\u0648\u0636\u06cc\u062d \u062a\u0626\u0648\u0631\u06cc \u067e\u0634\u062a \u0622\u0646 \u0631\u0627 \u0628\u0631\u0631\u0633\u06cc \u062e\u0648\u0627\u0647\u06cc\u0645 \u06a9\u0631\u062f.  \u067e\u0633 \u0627\u0632 \u0622\u0646\u060c \u0645\u0627 \u0646\u06af\u0627\u0647\u06cc \u0628\u0647 <em>\u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0645\u0633\u06a9\u0646 \u06a9\u0627\u0644\u06cc\u0641\u0631\u0646\u06cc\u0627<\/em> \u0645\u0627 \u0628\u0631\u0627\u06cc \u0646\u0634\u0627\u0646 \u062f\u0627\u062f\u0646 \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 KNN \u0648 \u0686\u0646\u062f\u06cc\u0646 \u062a\u063a\u06cc\u06cc\u0631 \u0622\u0646 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u062e\u0648\u0627\u0647\u06cc\u0645 \u06a9\u0631\u062f.  \u0627\u0648\u0644 \u0627\u0632 \u0647\u0645\u0647\u060c \u0631\u0648\u0634 \u067e\u06cc\u0627\u062f\u0647\u200c\u0633\u0627\u0632\u06cc \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 KNN \u0628\u0631\u0627\u06cc \u0631\u06af\u0631\u0633\u06cc\u0648\u0646 \u0631\u0627 \u0628\u0631\u0631\u0633\u06cc \u0645\u06cc\u200c\u06a9\u0646\u06cc\u0645\u060c \u0648 \u0628\u0647 \u062f\u0646\u0628\u0627\u0644 \u0622\u0646 \u067e\u06cc\u0627\u062f\u0647\u200c\u0633\u0627\u0632\u06cc \u0637\u0628\u0642\u0647\u200c\u0628\u0646\u062f\u06cc KNN \u0648 \u062a\u0634\u062e\u06cc\u0635 \u067e\u0631\u062a \u0631\u0627 \u062e\u0648\u0627\u0647\u06cc\u0645 \u062f\u0627\u0634\u062a.  \u062f\u0631 \u067e\u0627\u06cc\u0627\u0646 \u0628\u0627 \u0628\u0631\u062e\u06cc \u0627\u0632 \u0645\u0632\u0627\u06cc\u0627 \u0648 \u0645\u0639\u0627\u06cc\u0628 \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u0646\u062a\u06cc\u062c\u0647 \u06af\u06cc\u0631\u06cc \u0645\u06cc \u06a9\u0646\u06cc\u0645.<\/p>\n<\/blockquote>\n<h2 id=\"whenshouldyouuseknn\"><span class=\"ez-toc-section\" id=\"%da%86%d9%87_%d8%b2%d9%85%d8%a7%d9%86%db%8c_%d8%a8%d8%a7%db%8c%d8%af_%d8%a7%d8%b2_knn_%d8%a7%d8%b3%d8%aa%d9%81%d8%a7%d8%af%d9%87_%da%a9%d9%86%db%8c%d8%af%d8%9f\"><\/span>\u0686\u0647 \u0632\u0645\u0627\u0646\u06cc \u0628\u0627\u06cc\u062f \u0627\u0632 KNN \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u062f\u061f<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u0641\u0631\u0636 \u06a9\u0646\u06cc\u062f \u0645\u06cc\u200c\u062e\u0648\u0627\u0647\u06cc\u062f \u06cc\u06a9 \u0622\u067e\u0627\u0631\u062a\u0645\u0627\u0646 \u0627\u062c\u0627\u0631\u0647 \u06a9\u0646\u06cc\u062f \u0648 \u0627\u062e\u06cc\u0631\u0627\u064b \u0645\u062a\u0648\u062c\u0647 \u0634\u062f\u0647\u200c\u0627\u06cc\u062f \u06a9\u0647 \u0647\u0645\u0633\u0627\u06cc\u0647 \u062f\u0648\u0633\u062a\u062a\u0627\u0646 \u0645\u0645\u06a9\u0646 \u0627\u0633\u062a \u0622\u067e\u0627\u0631\u062a\u0645\u0627\u0646 \u0627\u0648 \u0631\u0627 \u0638\u0631\u0641 \u06f2 \u0647\u0641\u062a\u0647 \u0627\u062c\u0627\u0631\u0647 \u062f\u0647\u062f.  \u0627\u0632 \u0622\u0646\u062c\u0627\u06cc\u06cc \u06a9\u0647 \u0622\u067e\u0627\u0631\u062a\u0645\u0627\u0646 \u0646\u06cc\u0633\u062a \u0631\u0648\u06cc \u0647\u0646\u0648\u0632 \u06cc\u06a9 \u0648\u0628 \u0633\u0627\u06cc\u062a \u0627\u062c\u0627\u0631\u0647 \u0627\u06cc\u060c \u0686\u06af\u0648\u0646\u0647 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0627\u0631\u0632\u0634 \u0627\u062c\u0627\u0631\u0647 \u0622\u0646 \u0631\u0627 \u062a\u062e\u0645\u06cc\u0646 \u0628\u0632\u0646\u06cc\u062f\u061f<\/p>\n<p>\u0641\u0631\u0636 \u06a9\u0646\u06cc\u062f \u062f\u0648\u0633\u062a \u0634\u0645\u0627 1200 \u062f\u0644\u0627\u0631 \u0627\u062c\u0627\u0631\u0647 \u0645\u06cc \u062f\u0647\u062f.  \u0627\u0631\u0632\u0634 \u0627\u062c\u0627\u0631\u0647 \u0634\u0645\u0627 \u0645\u0645\u06a9\u0646 \u0627\u0633\u062a \u062f\u0631 \u062d\u062f\u0648\u062f \u0627\u06cc\u0646 \u0639\u062f\u062f \u0628\u0627\u0634\u062f\u060c \u0627\u0645\u0627 \u0622\u067e\u0627\u0631\u062a\u0645\u0627\u0646 \u0647\u0627 \u062f\u0642\u06cc\u0642\u0627\u064b \u06cc\u06a9\u0633\u0627\u0646 \u0646\u06cc\u0633\u062a\u0646\u062f (\u062c\u0647\u062a\u060c \u0645\u0633\u0627\u062d\u062a\u060c \u06a9\u06cc\u0641\u06cc\u062a \u0645\u0628\u0644\u0645\u0627\u0646 \u0648 \u063a\u06cc\u0631\u0647)\u060c \u0628\u0646\u0627\u0628\u0631\u0627\u06cc\u0646\u060c \u062e\u0648\u0628 \u0627\u0633\u062a \u06a9\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0628\u06cc\u0634\u062a\u0631\u06cc \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u06cc\u062f. \u0631\u0648\u06cc \u0622\u067e\u0627\u0631\u062a\u0645\u0627\u0646 \u0647\u0627\u06cc \u062f\u06cc\u06af\u0631<\/p>\n<p>\u0628\u0627 \u067e\u0631\u0633 \u0648 \u062c\u0648 \u0627\u0632 \u0633\u0627\u06cc\u0631 \u0647\u0645\u0633\u0627\u06cc\u0647 \u0647\u0627 \u0648 \u0646\u06af\u0627\u0647\u06cc \u0628\u0647 \u0622\u067e\u0627\u0631\u062a\u0645\u0627\u0646 \u0647\u0627\u06cc \u0647\u0645\u0627\u0646 \u0633\u0627\u062e\u062a\u0645\u0627\u0646 \u06a9\u0647 \u0644\u06cc\u0633\u062a \u0634\u062f\u0647 \u0628\u0648\u062f \u0631\u0648\u06cc \u06cc\u06a9 \u0648\u0628 \u0633\u0627\u06cc\u062a \u0627\u062c\u0627\u0631\u0647 \u0627\u06cc\u060c \u0646\u0632\u062f\u06cc\u06a9 \u062a\u0631\u06cc\u0646 \u0633\u0647 \u0627\u062c\u0627\u0631\u0647 \u0622\u067e\u0627\u0631\u062a\u0645\u0627\u0646 \u0647\u0645\u0633\u0627\u06cc\u0647 1200 \u062f\u0644\u0627\u0631\u060c 1210 \u062f\u0644\u0627\u0631\u060c 1210 \u062f\u0644\u0627\u0631 \u0648 1215 \u062f\u0644\u0627\u0631 \u0627\u0633\u062a.  \u0622\u0646 \u0622\u067e\u0627\u0631\u062a\u0645\u0627\u0646 \u0647\u0627 \u0647\u0633\u062a\u0646\u062f \u0631\u0648\u06cc \u0647\u0645\u0627\u0646 \u0628\u0644\u0648\u06a9 \u0648 \u0637\u0628\u0642\u0647 \u0622\u067e\u0627\u0631\u062a\u0645\u0627\u0646 \u062f\u0648\u0633\u062a \u0634\u0645\u0627.<\/p>\n<p>\u0622\u067e\u0627\u0631\u062a\u0645\u0627\u0646 \u0647\u0627\u06cc \u062f\u06cc\u06af\u0631\u06cc \u06a9\u0647 \u062f\u0648\u0631\u062a\u0631 \u0647\u0633\u062a\u0646\u062f\u060c \u0631\u0648\u06cc \u062f\u0631 \u0647\u0645\u0627\u0646 \u0637\u0628\u0642\u0647\u060c \u0627\u0645\u0627 \u062f\u0631 \u06cc\u06a9 \u0628\u0644\u0648\u06a9 \u0645\u062a\u0641\u0627\u0648\u062a\u060c \u0627\u062c\u0627\u0631\u0647 \u0628\u0647\u0627\u06cc 1400 \u062f\u0644\u0627\u0631\u060c 1430 \u062f\u0644\u0627\u0631\u060c 1500 \u062f\u0644\u0627\u0631 \u0648 1470 \u062f\u0644\u0627\u0631 \u0648\u062c\u0648\u062f \u062f\u0627\u0631\u062f.  \u0628\u0647 \u0646\u0638\u0631 \u0645\u06cc \u0631\u0633\u062f \u0628\u0647 \u062f\u0644\u06cc\u0644 \u062f\u0627\u0634\u062a\u0646 \u0646\u0648\u0631 \u0628\u06cc\u0634\u062a\u0631 \u0627\u0632 \u062e\u0648\u0631\u0634\u06cc\u062f \u062f\u0631 \u0639\u0635\u0631 \u06af\u0631\u0627\u0646 \u062a\u0631 \u0647\u0633\u062a\u0646\u062f.<\/p>\n<p>\u0628\u0627 \u062a\u0648\u062c\u0647 \u0628\u0647 \u0646\u0632\u062f\u06cc\u06a9\u06cc \u0622\u067e\u0627\u0631\u062a\u0645\u0627\u0646\u060c \u0628\u0647 \u0646\u0638\u0631 \u0645\u06cc \u0631\u0633\u062f \u0627\u062c\u0627\u0631\u0647 \u0634\u0645\u0627 \u062d\u062f\u0648\u062f 1210 \u062f\u0644\u0627\u0631 \u0628\u0627\u0634\u062f.  \u0627\u06cc\u0646 \u0627\u06cc\u062f\u0647 \u06a9\u0644\u06cc \u0627\u0632 \u0622\u0646\u0686\u0647 \u0627\u0633\u062a <strong>K-\u0646\u0632\u062f\u06cc\u06a9\u062a\u0631\u06cc\u0646 \u0647\u0645\u0633\u0627\u06cc\u06af\u0627\u0646 (KNN)<\/strong> \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u0627\u0646\u062c\u0627\u0645 \u0645\u06cc \u062f\u0647\u062f!  \u0628\u0631 \u0627\u0633\u0627\u0633 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u062c\u062f\u06cc\u062f \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u06cc\u0627 \u067e\u0633\u0631\u0641\u062a \u0645\u06cc \u06a9\u0646\u062f \u0631\u0648\u06cc \u0646\u0632\u062f\u06cc\u06a9\u06cc \u0622\u0646 \u0628\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0645\u0648\u062c\u0648\u062f<\/p>\n<h3 id=\"translatetheexampleintotheory\"><span class=\"ez-toc-section\" id=\"%d9%85%d8%ab%d8%a7%d9%84_%d8%b1%d8%a7_%d8%a8%d9%87_%d8%aa%d8%a6%d9%88%d8%b1%db%8c_%d8%aa%d8%a8%d8%af%db%8c%d9%84_%da%a9%d9%86%db%8c%d8%af\"><\/span>\u0645\u062b\u0627\u0644 \u0631\u0627 \u0628\u0647 \u062a\u0626\u0648\u0631\u06cc \u062a\u0628\u062f\u06cc\u0644 \u06a9\u0646\u06cc\u062f<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u0647\u0646\u06af\u0627\u0645\u06cc \u06a9\u0647 \u0627\u0631\u0632\u0634 \u062a\u062e\u0645\u06cc\u0646\u06cc \u06cc\u06a9 \u0639\u062f\u062f \u067e\u06cc\u0648\u0633\u062a\u0647 \u0627\u0633\u062a\u060c \u0645\u0627\u0646\u0646\u062f \u0627\u0631\u0632\u0634 \u0627\u062c\u0627\u0631\u0647\u060c KNN \u0628\u0631\u0627\u06cc \u0622\u0646 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u0634\u0648\u062f <em><strong>\u067e\u0633\u0631\u0641\u062a<\/strong><\/em>.  \u0627\u0645\u0627 \u0645\u0627 \u0647\u0645\u0686\u0646\u06cc\u0646 \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u06cc\u0645 \u0622\u067e\u0627\u0631\u062a\u0645\u0627\u0646\u200c\u0647\u0627 \u0631\u0627 \u0628\u0647 \u062f\u0633\u062a\u0647\u200c\u0647\u0627\u06cc \u0645\u0628\u062a\u0646\u06cc \u0628\u0631 \u062a\u0642\u0633\u06cc\u0645 \u06a9\u0646\u06cc\u0645 \u0631\u0648\u06cc \u0628\u0631\u0627\u06cc \u0645\u062b\u0627\u0644 \u062d\u062f\u0627\u0642\u0644 \u0648 \u062d\u062f\u0627\u06a9\u062b\u0631 \u0627\u062c\u0627\u0631\u0647.  \u0647\u0646\u06af\u0627\u0645\u06cc \u06a9\u0647 \u0645\u0642\u062f\u0627\u0631 \u06af\u0633\u0633\u062a\u0647 \u0627\u0633\u062a\u060c \u0622\u0646 \u0631\u0627 \u0628\u0647 \u06cc\u06a9 \u062f\u0633\u062a\u0647 \u062a\u0628\u062f\u06cc\u0644 \u0645\u06cc \u06a9\u0646\u062f\u060c KNN \u0628\u0631\u0627\u06cc \u0622\u0646 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u0634\u0648\u062f <em><strong>\u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc<\/strong><\/em>.<\/p>\n<p>\u0647\u0645\u0686\u0646\u06cc\u0646 \u0627\u06cc\u0646 \u0627\u0645\u06a9\u0627\u0646 \u0648\u062c\u0648\u062f \u062f\u0627\u0631\u062f \u06a9\u0647 \u062a\u062e\u0645\u06cc\u0646 \u0628\u0632\u0646\u06cc\u0645 \u06a9\u062f\u0627\u0645 \u0647\u0645\u0633\u0627\u06cc\u0647 \u0647\u0627 \u0622\u0646\u0642\u062f\u0631 \u0628\u0627 \u062f\u06cc\u06af\u0631\u0627\u0646 \u062a\u0641\u0627\u0648\u062a \u062f\u0627\u0631\u0646\u062f \u06a9\u0647 \u0627\u062d\u062a\u0645\u0627\u0644\u0627\u064b \u0627\u0632 \u067e\u0631\u062f\u0627\u062e\u062a \u0627\u062c\u0627\u0631\u0647 \u0645\u0646\u0635\u0631\u0641 \u0645\u06cc \u0634\u0648\u0646\u062f.  \u0627\u06cc\u0646 \u0647\u0645\u0627\u0646\u0646\u062f \u062a\u0634\u062e\u06cc\u0635 \u0627\u06cc\u0646\u06a9\u0647 \u06a9\u062f\u0627\u0645 \u0646\u0642\u0627\u0637 \u062f\u0627\u062f\u0647 \u0622\u0646\u0642\u062f\u0631 \u062f\u0648\u0631 \u0647\u0633\u062a\u0646\u062f \u06a9\u0647 \u062f\u0631 \u0647\u06cc\u0686 \u0645\u0642\u062f\u0627\u0631 \u06cc\u0627 \u062f\u0633\u062a\u0647 \u0627\u06cc \u0642\u0631\u0627\u0631 \u0646\u0645\u06cc \u06af\u06cc\u0631\u0646\u062f\u060c \u0632\u0645\u0627\u0646\u06cc \u06a9\u0647 \u0627\u06cc\u0646 \u0627\u062a\u0641\u0627\u0642 \u0645\u06cc \u0627\u0641\u062a\u062f\u060c \u0627\u0632 KNN \u0628\u0631\u0627\u06cc <em><strong>\u062a\u0634\u062e\u06cc\u0635 \u0628\u06cc\u0631\u0648\u0646\u06cc<\/strong><\/em>.<\/p>\n<p>\u062f\u0631 \u0645\u062b\u0627\u0644 \u0645\u0627\u060c \u0645\u0627 \u0642\u0628\u0644\u0627\u064b \u0627\u062c\u0627\u0631\u0647 \u0647\u0631 \u0622\u067e\u0627\u0631\u062a\u0645\u0627\u0646 \u0631\u0627 \u0645\u06cc\u200c\u062f\u0627\u0646\u0633\u062a\u06cc\u0645\u060c \u0628\u0647 \u0627\u06cc\u0646 \u0645\u0639\u0646\u06cc \u06a9\u0647 \u062f\u0627\u062f\u0647\u200c\u0647\u0627\u06cc \u0645\u0627 \u0628\u0631\u0686\u0633\u0628\u200c\u06af\u0630\u0627\u0631\u06cc \u0634\u062f\u0647 \u0628\u0648\u062f\u0646\u062f.  KNN \u0627\u0632 \u062f\u0627\u062f\u0647\u200c\u0647\u0627\u06cc \u0628\u0631\u0686\u0633\u0628\u200c\u06af\u0630\u0627\u0631\u06cc\u200c\u0634\u062f\u0647 \u0642\u0628\u0644\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc\u200c\u06a9\u0646\u062f\u060c \u06a9\u0647 \u0628\u0627\u0639\u062b \u0645\u06cc\u200c\u0634\u0648\u062f \u06cc\u06a9 <em><strong>\u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0646\u0638\u0627\u0631\u062a \u0634\u062f\u0647<\/strong><\/em>.<\/p>\n<blockquote>\n<p>\u067e\u06cc\u0627\u062f\u0647\u200c\u0633\u0627\u0632\u06cc KNN \u062f\u0631 \u0627\u0628\u062a\u062f\u0627\u06cc\u06cc\u200c\u062a\u0631\u06cc\u0646 \u0634\u06a9\u0644 \u0622\u0646 \u0628\u0633\u06cc\u0627\u0631 \u0622\u0633\u0627\u0646 \u0627\u0633\u062a\u060c \u0648 \u062f\u0631 \u0639\u06cc\u0646 \u062d\u0627\u0644 \u0648\u0638\u0627\u06cc\u0641 \u06a9\u0627\u0645\u0644\u0627\u064b \u067e\u06cc\u0686\u06cc\u062f\u0647\u200c\u0627\u06cc \u0631\u0627 \u0627\u0646\u062c\u0627\u0645 \u0645\u06cc\u200c\u062f\u0647\u062f\u060c \u0637\u0628\u0642\u0647\u200c\u0628\u0646\u062f\u06cc\u060c \u0631\u06af\u0631\u0633\u06cc\u0648\u0646\u060c \u06cc\u0627 \u062a\u0634\u062e\u06cc\u0635 \u0646\u0642\u0627\u0637 \u067e\u0631\u062a.<\/p>\n<\/blockquote>\n<p>\u0647\u0631 \u0628\u0627\u0631 \u06a9\u0647 \u06cc\u06a9 \u0646\u0642\u0637\u0647 \u062c\u062f\u06cc\u062f \u0628\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0627\u0636\u0627\u0641\u0647 \u0645\u06cc \u0634\u0648\u062f\u060c KNN \u0641\u0642\u0637 \u0627\u0632 \u06cc\u06a9 \u0642\u0633\u0645\u062a \u0627\u0632 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0628\u0631\u0627\u06cc \u062a\u0635\u0645\u06cc\u0645 \u06af\u06cc\u0631\u06cc \u062f\u0631 \u0645\u0648\u0631\u062f \u0645\u0642\u062f\u0627\u0631 (\u0631\u06af\u0631\u0633\u06cc\u0648\u0646) \u06cc\u0627 \u06a9\u0644\u0627\u0633 (\u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc) \u0622\u0646 \u0646\u0642\u0637\u0647 \u0627\u0636\u0627\u0641\u0647 \u0634\u062f\u0647 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u06a9\u0646\u062f.  \u0627\u0632 \u0622\u0646\u062c\u0627\u06cc\u06cc \u06a9\u0647 \u0644\u0627\u0632\u0645 \u0646\u06cc\u0633\u062a \u062f\u0648\u0628\u0627\u0631\u0647 \u0628\u0647 \u0647\u0645\u0647 \u0646\u06a9\u0627\u062a \u0646\u06af\u0627\u0647 \u06a9\u0646\u062f\u060c \u0627\u06cc\u0646 \u0628\u0627\u0639\u062b \u0645\u06cc \u0634\u0648\u062f \u06a9\u0647 \u06cc\u06a9 <em><strong>\u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u062a\u0646\u0628\u0644<\/strong><\/em>.<\/p>\n<p>KNN \u0647\u0645\u0686\u0646\u06cc\u0646 \u0647\u06cc\u0686 \u0686\u06cc\u0632\u06cc \u062f\u0631 \u0645\u0648\u0631\u062f \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0632\u06cc\u0631\u0628\u0646\u0627\u06cc\u06cc \u0641\u0631\u0636 \u0646\u0645\u06cc \u06a9\u0646\u062f\u060c \u0627\u0646\u062a\u0638\u0627\u0631 \u0646\u062f\u0627\u0631\u062f \u062f\u0627\u062f\u0647 \u0647\u0627 \u062f\u0631 \u0628\u0631\u062e\u06cc \u0627\u0632 \u0627\u0646\u0648\u0627\u0639 \u062a\u0648\u0632\u06cc\u0639\u060c \u0645\u0627\u0646\u0646\u062f \u06cc\u06a9\u0646\u0648\u0627\u062e\u062a\u060c \u06cc\u0627 \u0628\u0647 \u0635\u0648\u0631\u062a \u062e\u0637\u06cc \u0642\u0627\u0628\u0644 \u062a\u0641\u06a9\u06cc\u06a9 \u0642\u0631\u0627\u0631 \u06af\u06cc\u0631\u0646\u062f.  \u0627\u06cc\u0646 \u0628\u062f\u0627\u0646 \u0645\u0639\u0646\u06cc \u0627\u0633\u062a \u06a9\u0647 \u06cc\u06a9 \u0627\u0633\u062a <em><strong>\u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0646\u0627\u067e\u0627\u0631\u0627\u0645\u062a\u0631\u06cc\u06a9<\/strong><\/em>.  \u0627\u06cc\u0646 \u06cc\u06a9 \u0648\u06cc\u0698\u06af\u06cc \u0628\u0633\u06cc\u0627\u0631 \u0645\u0641\u06cc\u062f \u0627\u0633\u062a \u0632\u06cc\u0631\u0627 \u0628\u06cc\u0634\u062a\u0631 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u062f\u0646\u06cc\u0627\u06cc \u0648\u0627\u0642\u0639\u06cc \u0648\u0627\u0642\u0639\u0627\u064b \u0627\u0632 \u0647\u06cc\u0686 \u0641\u0631\u0636 \u0646\u0638\u0631\u06cc \u067e\u06cc\u0631\u0648\u06cc \u0646\u0645\u06cc \u06a9\u0646\u0646\u062f.<\/p>\n<h2 id=\"visualizingdifferentusesoftheknn\"><span class=\"ez-toc-section\" id=\"%d8%aa%d8%ac%d8%b3%d9%85_%da%a9%d8%a7%d8%b1%d8%a8%d8%b1%d8%af%d9%87%d8%a7%db%8c_%d9%85%d8%ae%d8%aa%d9%84%d9%81_knn\"><\/span>\u062a\u062c\u0633\u0645 \u06a9\u0627\u0631\u0628\u0631\u062f\u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641 KNN<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u0647\u0645\u0627\u0646\u0637\u0648\u0631 \u06a9\u0647 \u0646\u0634\u0627\u0646 \u062f\u0627\u062f\u0647 \u0634\u062f\u060c \u0634\u0647\u0648\u062f \u067e\u0634\u062a \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 KNN \u06cc\u06a9\u06cc \u0627\u0632 \u0645\u0633\u062a\u0642\u06cc\u0645 \u062a\u0631\u06cc\u0646 \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u0647\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646\u06cc \u062a\u062d\u062a \u0646\u0638\u0627\u0631\u062a \u0627\u0633\u062a.  \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u0627\u0628\u062a\u062f\u0627 \u0645\u0642\u062f\u0627\u0631 \u0631\u0627 \u0645\u062d\u0627\u0633\u0628\u0647 \u0645\u06cc \u06a9\u0646\u062f <em>\u0641\u0627\u0635\u0644\u0647<\/em> \u06cc\u06a9 \u0646\u0642\u0637\u0647 \u062f\u0627\u062f\u0647 \u062c\u062f\u06cc\u062f \u0628\u0647 \u062a\u0645\u0627\u0645 \u0646\u0642\u0627\u0637 \u062f\u0627\u062f\u0647 \u0622\u0645\u0648\u0632\u0634\u06cc \u062f\u06cc\u06af\u0631.<\/p>\n<div class=\"alert alert-note\">\n<div class=\"flex\">\n<div class=\"flex-shrink-0 mr-3\"><\/div>\n<div class=\"w-full\">\n<p><strong>\u062a\u0648\u062c\u0647 \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u06cc\u062f:<\/strong> \u0641\u0627\u0635\u0644\u0647 \u0631\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646 \u0628\u0647 \u0631\u0648\u0634 \u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641 \u0627\u0646\u062f\u0627\u0632\u0647 \u06af\u06cc\u0631\u06cc \u06a9\u0631\u062f.  \u0628\u0631\u0627\u06cc \u0646\u0627\u0645 \u0628\u0631\u062f\u0646 \u0686\u0646\u062f \u0645\u0639\u06cc\u0627\u0631 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0627\u0632 \u0641\u0631\u0645\u0648\u0644 Minkowski\u060c Euclidean\u060c Manhattan\u060c Mahalanobis \u06cc\u0627 Hamming \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u062f.  \u0628\u0627 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0627\u0628\u0639\u0627\u062f\u06cc \u0628\u0627\u0644\u0627\u060c \u0641\u0627\u0635\u0644\u0647 \u0627\u0642\u0644\u06cc\u062f\u0633\u06cc \u0627\u063a\u0644\u0628 \u0634\u0631\u0648\u0639 \u0628\u0647 \u0634\u06a9\u0633\u062a \u0645\u06cc \u06a9\u0646\u062f (\u0628\u0639\u062f \u0628\u0627\u0644\u0627&#8230; \u0639\u062c\u06cc\u0628 \u0627\u0633\u062a)\u060c \u0648 \u0628\u0647 \u062c\u0627\u06cc \u0622\u0646 \u0627\u0632 \u0641\u0627\u0635\u0644\u0647 \u0645\u0646\u0647\u062a\u0646 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u0634\u0648\u062f.<\/p>\n<\/p><\/div><\/div><\/div>\n<p>\u067e\u0633 \u0627\u0632 \u0645\u062d\u0627\u0633\u0628\u0647 \u0641\u0627\u0635\u0644\u0647\u060c KNN \u062a\u0639\u062f\u0627\u062f\u06cc \u0627\u0632 \u0646\u0632\u062f\u06cc\u06a9\u062a\u0631\u06cc\u0646 \u0646\u0642\u0627\u0637 \u062f\u0627\u062f\u0647 \u0631\u0627 \u0627\u0646\u062a\u062e\u0627\u0628 \u0645\u06cc \u06a9\u0646\u062f &#8211; 2\u060c 3\u060c 10\u060c \u06cc\u0627 \u0648\u0627\u0642\u0639\u0627\u064b\u060c \u0647\u0631 \u0639\u062f\u062f \u0635\u062d\u06cc\u062d.  \u0627\u06cc\u0646 \u062a\u0639\u062f\u0627\u062f \u0627\u0645\u062a\u06cc\u0627\u0632 (2\u060c 3\u060c 10\u060c \u0648 \u063a\u06cc\u0631\u0647) \u0628\u0631\u0627\u0628\u0631 \u0627\u0633\u062a <strong>\u06a9<\/strong> \u062f\u0631 K-Nearest Neighbors!<\/p>\n<p>\u062f\u0631 \u0645\u0631\u062d\u0644\u0647 \u0622\u062e\u0631\u060c \u0627\u06af\u0631 \u06cc\u06a9 \u06a9\u0627\u0631 \u0631\u06af\u0631\u0633\u06cc\u0648\u0646\u06cc \u0628\u0627\u0634\u062f\u060c KNN \u0645\u06cc\u0627\u0646\u06af\u06cc\u0646 \u0648\u0632\u0646\u06cc \u0645\u062c\u0645\u0648\u0639 K-\u0646\u0632\u062f\u06cc\u06a9 \u062a\u0631\u06cc\u0646 \u0646\u0642\u0627\u0637 \u0631\u0627 \u0628\u0631\u0627\u06cc \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0645\u062d\u0627\u0633\u0628\u0647 \u0645\u06cc \u06a9\u0646\u062f.  \u0627\u06af\u0631 \u06cc\u06a9 \u06a9\u0627\u0631 \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u0628\u0627\u0634\u062f\u060c \u0646\u0642\u0637\u0647 \u062f\u0627\u062f\u0647 \u062c\u062f\u06cc\u062f \u0628\u0647 \u06a9\u0644\u0627\u0633\u06cc \u06a9\u0647 \u0627\u06a9\u062b\u0631 K-\u0646\u0632\u062f\u06cc\u06a9 \u062a\u0631\u06cc\u0646 \u0646\u0642\u0627\u0637 \u0627\u0646\u062a\u062e\u0627\u0628 \u0634\u062f\u0647 \u0628\u0647 \u0622\u0646 \u062a\u0639\u0644\u0642 \u062f\u0627\u0631\u0646\u062f\u060c \u0627\u062e\u062a\u0635\u0627\u0635 \u062f\u0627\u062f\u0647 \u0645\u06cc \u0634\u0648\u062f.<\/p>\n<p>\u0628\u06cc\u0627\u06cc\u06cc\u062f \u0628\u0627 \u06a9\u0645\u06a9 \u06cc\u06a9 \u0645\u062b\u0627\u0644 \u0633\u0627\u062f\u0647 \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u0631\u0627 \u062f\u0631 \u0639\u0645\u0644 \u0645\u062c\u0633\u0645 \u06a9\u0646\u06cc\u0645.  \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0627\u06cc \u0631\u0627 \u0628\u0627 \u062f\u0648 \u0645\u062a\u063a\u06cc\u0631 \u0648 K 3 \u062f\u0631 \u0646\u0638\u0631 \u0628\u06af\u06cc\u0631\u06cc\u062f.<\/p>\n<p>\u0647\u0646\u06af\u0627\u0645 \u0627\u0646\u062c\u0627\u0645 \u0631\u06af\u0631\u0633\u06cc\u0648\u0646\u060c \u0648\u0638\u06cc\u0641\u0647 \u06cc\u0627\u0641\u062a\u0646 \u0645\u0642\u062f\u0627\u0631 \u06cc\u06a9 \u0646\u0642\u0637\u0647 \u062f\u0627\u062f\u0647 \u062c\u062f\u06cc\u062f \u0627\u0633\u062a \u0631\u0648\u06cc \u0645\u06cc\u0627\u0646\u06af\u06cc\u0646 \u0645\u062c\u0645\u0648\u0639 \u0648\u0632\u0646\u06cc 3 \u0646\u0632\u062f\u06cc\u06a9\u062a\u0631\u06cc\u0646 \u0646\u0642\u0637\u0647.<\/p>\n<p>KNN \u0628\u0627 <code>K = 3<\/code>\u060c \u0686\u0647 \u0632\u0645\u0627\u0646\u06cc <em><strong>\u0628\u0631\u0627\u06cc \u0631\u06af\u0631\u0633\u06cc\u0648\u0646 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u0634\u0648\u062f<\/strong><\/em>:<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/k-nearest-neighbors-algorithm-python-scikit-learn-1.png\" alt=\"\" title=\"\"><br \/><img decoding=\"async\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/k-nearest-neighbors-algorithm-python-scikit-learn-2.png\" alt=\"\" title=\"\"><\/p>\n<p>\u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 KNN \u0628\u0627 \u0645\u062d\u0627\u0633\u0628\u0647 \u0641\u0627\u0635\u0644\u0647 \u0646\u0642\u0637\u0647 \u062c\u062f\u06cc\u062f \u0627\u0632 \u062a\u0645\u0627\u0645 \u0646\u0642\u0627\u0637 \u0634\u0631\u0648\u0639 \u0645\u06cc \u0634\u0648\u062f.  \u0633\u067e\u0633 3 \u0646\u0642\u0637\u0647 \u0628\u0627 \u06a9\u0645\u062a\u0631\u06cc\u0646 \u0641\u0627\u0635\u0644\u0647 \u062a\u0627 \u0646\u0642\u0637\u0647 \u062c\u062f\u06cc\u062f \u0631\u0627 \u067e\u06cc\u062f\u0627 \u0645\u06cc \u06a9\u0646\u062f.  \u0627\u06cc\u0646 \u062f\u0631 \u0634\u06a9\u0644 \u062f\u0648\u0645 \u0628\u0627\u0644\u0627 \u0646\u0634\u0627\u0646 \u062f\u0627\u062f\u0647 \u0634\u062f\u0647 \u0627\u0633\u062a \u06a9\u0647 \u062f\u0631 \u0622\u0646 \u0633\u0647 \u0646\u0632\u062f\u06cc\u06a9\u062a\u0631\u06cc\u0646 \u0646\u0642\u0637\u0647\u060c <code>47<\/code>\u060c <code>58<\/code>\u060c \u0648 <code>79<\/code> \u0645\u062d\u0627\u0635\u0631\u0647 \u0634\u062f\u0647 \u0627\u0646\u062f.  \u067e\u0633 \u0627\u0632 \u0622\u0646\u060c \u0645\u062c\u0645\u0648\u0639 \u0648\u0632\u0646\u06cc \u0631\u0627 \u0645\u062d\u0627\u0633\u0628\u0647 \u0645\u06cc \u06a9\u0646\u062f <code>47<\/code>\u060c <code>58<\/code> \u0648 <code>79<\/code> &#8211; \u062f\u0631 \u0627\u06cc\u0646 \u062d\u0627\u0644\u062a \u0627\u0648\u0632\u0627\u0646 \u0628\u0631\u0627\u0628\u0631 \u0628\u0627 1 \u0627\u0633\u062a &#8211; \u0645\u0627 \u0647\u0645\u0647 \u0627\u0645\u062a\u06cc\u0627\u0632\u0647\u0627 \u0631\u0627 \u0645\u0633\u0627\u0648\u06cc \u062f\u0631 \u0646\u0638\u0631 \u0645\u06cc \u06af\u06cc\u0631\u06cc\u0645\u060c \u0627\u0645\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u0648\u0632\u0646 \u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641\u06cc \u0631\u0627 \u0646\u06cc\u0632 \u0628\u0631 \u0627\u0633\u0627\u0633 \u062a\u0639\u06cc\u06cc\u0646 \u06a9\u0646\u06cc\u0645. \u0631\u0648\u06cc \u0641\u0627\u0635\u0644\u0647  \u067e\u0633 \u0627\u0632 \u0645\u062d\u0627\u0633\u0628\u0647 \u062c\u0645\u0639 \u0648\u0632\u0646\u06cc\u060c \u0645\u0642\u062f\u0627\u0631 \u0627\u0645\u062a\u06cc\u0627\u0632 \u062c\u062f\u06cc\u062f \u0645\u06cc \u0628\u0627\u0634\u062f <code>61,33<\/code>.<\/p>\n<p>\u0648 \u0647\u0646\u06af\u0627\u0645 \u0627\u0646\u062c\u0627\u0645 \u06cc\u06a9 \u0637\u0628\u0642\u0647\u200c\u0628\u0646\u062f\u06cc\u060c \u0648\u0638\u06cc\u0641\u0647 KNN \u0627\u06cc\u0646 \u0627\u0633\u062a \u06a9\u0647 \u06cc\u06a9 \u0646\u0642\u0637\u0647 \u062f\u0627\u062f\u0647 \u062c\u062f\u06cc\u062f \u0631\u0627 \u062f\u0631 \u0642\u0633\u0645\u062a \u0637\u0628\u0642\u0647\u200c\u0628\u0646\u062f\u06cc \u06a9\u0646\u062f <code>\"Purple\"<\/code> \u06cc\u0627 <code>\"Red\"<\/code> \u06a9\u0644\u0627\u0633<\/p>\n<p>KNN \u0628\u0627 <code>K = 3<\/code>\u060c \u0686\u0647 \u0632\u0645\u0627\u0646\u06cc <em><strong>\u0628\u0631\u0627\u06cc \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u0634\u0648\u062f<\/strong><\/em>:<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/k-nearest-neighbors-algorithm-python-scikit-learn-3.png\" alt=\"\" title=\"\"><br \/><img decoding=\"async\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/k-nearest-neighbors-algorithm-python-scikit-learn-4.png\" alt=\"\" title=\"\"><\/p>\n<p>\u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 KNN \u0645\u0627\u0646\u0646\u062f \u0642\u0628\u0644 \u0628\u0627 \u0645\u062d\u0627\u0633\u0628\u0647 \u0641\u0627\u0635\u0644\u0647 \u0646\u0642\u0637\u0647 \u062c\u062f\u06cc\u062f \u0627\u0632 \u062a\u0645\u0627\u0645 \u0646\u0642\u0627\u0637\u060c \u06cc\u0627\u0641\u062a\u0646 3 \u0646\u0632\u062f\u06cc\u06a9\u062a\u0631\u06cc\u0646 \u0646\u0642\u0637\u0647 \u0628\u0627 \u06a9\u0645\u062a\u0631\u06cc\u0646 \u0641\u0627\u0635\u0644\u0647 \u0627\u0632 \u0646\u0642\u0637\u0647 \u062c\u062f\u06cc\u062f \u0634\u0631\u0648\u0639 \u0645\u06cc \u0634\u0648\u062f \u0648 \u0633\u067e\u0633 \u0628\u0647 \u062c\u0627\u06cc \u0645\u062d\u0627\u0633\u0628\u0647 \u0639\u062f\u062f\u060c \u0627\u062e\u062a\u0635\u0627\u0635 \u0645\u06cc \u062f\u0647\u062f. \u0646\u0642\u0637\u0647 \u062c\u062f\u06cc\u062f \u0628\u0647 \u06a9\u0644\u0627\u0633\u06cc \u06a9\u0647 \u0627\u06a9\u062b\u0631\u06cc\u062a \u0633\u0647 \u0646\u0642\u0637\u0647 \u0646\u0632\u062f\u06cc\u06a9 \u0628\u0647 \u0622\u0646 \u062a\u0639\u0644\u0642 \u062f\u0627\u0631\u062f\u060c \u06a9\u0644\u0627\u0633 \u0642\u0631\u0645\u0632.  \u0628\u0646\u0627\u0628\u0631\u0627\u06cc\u0646 \u0646\u0642\u0637\u0647 \u062f\u0627\u062f\u0647 \u062c\u062f\u06cc\u062f \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u0645\u06cc \u0634\u0648\u062f <code>\"Red\"<\/code>.<\/p>\n<p>\u062a\u0634\u062e\u06cc\u0635 \u067e\u0631\u062a process \u0628\u0627 \u0647\u0631 \u062f\u0648 \u0628\u0627\u0644\u0627 \u0645\u062a\u0641\u0627\u0648\u062a \u0627\u0633\u062a\u060c \u062f\u0631 \u0647\u0646\u06af\u0627\u0645 \u0627\u062c\u0631\u0627\u06cc \u0622\u0646 \u067e\u0633 \u0627\u0632 \u0627\u062c\u0631\u0627\u06cc \u0631\u06af\u0631\u0633\u06cc\u0648\u0646 \u0648 \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u0628\u06cc\u0634\u062a\u0631 \u062f\u0631 \u0645\u0648\u0631\u062f \u0622\u0646 \u0635\u062d\u0628\u062a \u062e\u0648\u0627\u0647\u06cc\u0645 \u06a9\u0631\u062f.<\/p>\n<div class=\"alert alert-note\">\n<div class=\"flex\">\n<div class=\"flex-shrink-0 mr-3\"><\/div>\n<div class=\"w-full\">\n<p><strong>\u062a\u0648\u062c\u0647 \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u06cc\u062f<\/strong>: \u06a9\u062f \u0627\u0631\u0627\u0626\u0647 \u0634\u062f\u0647 \u062f\u0631 \u0627\u06cc\u0646 \u0622\u0645\u0648\u0632\u0634 \u0628\u0627 \u0645\u0648\u0627\u0631\u062f \u0632\u06cc\u0631 \u0627\u062c\u0631\u0627 \u0648 \u062a\u0633\u062a \u0634\u062f\u0647 \u0627\u0633\u062a <a>Jupyter notebook<\/a>.<\/p>\n<\/p><\/div><\/div><\/div>\n<h2 id=\"thescikitlearncaliforniahousingdataset\"><span class=\"ez-toc-section\" id=\"%d9%85%d8%ac%d9%85%d9%88%d8%b9%d9%87_%d8%af%d8%a7%d8%af%d9%87_%d9%87%d8%a7%db%8c_%d9%85%d8%b3%da%a9%d9%86_%da%a9%d8%a7%d9%84%db%8c%d9%81%d8%b1%d9%86%db%8c%d8%a7_scikit-learn\"><\/span>\u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0645\u0633\u06a9\u0646 \u06a9\u0627\u0644\u06cc\u0641\u0631\u0646\u06cc\u0627 Scikit-Learn<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u0645\u0627 \u0642\u0635\u062f \u062f\u0627\u0631\u06cc\u0645 \u0627\u0632 <em>\u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0645\u0633\u06a9\u0646 \u06a9\u0627\u0644\u06cc\u0641\u0631\u0646\u06cc\u0627<\/em> \u0628\u0631\u0627\u06cc \u0646\u0634\u0627\u0646 \u062f\u0627\u062f\u0646 \u0631\u0648\u0634 \u0639\u0645\u0644\u06a9\u0631\u062f \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 KNN.  \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0627\u0632 \u0633\u0631\u0634\u0645\u0627\u0631\u06cc \u0633\u0627\u0644 1990 \u0627\u06cc\u0627\u0644\u0627\u062a \u0645\u062a\u062d\u062f\u0647 \u0628\u0647 \u062f\u0633\u062a \u0622\u0645\u062f\u0647 \u0627\u0633\u062a.  \u06cc\u06a9 \u0631\u062f\u06cc\u0641 \u0627\u0632 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0633\u0631\u0634\u0645\u0627\u0631\u06cc \u06cc\u06a9 \u06af\u0631\u0648\u0647 \u0628\u0644\u0648\u06a9\u06cc \u0631\u0627 \u0646\u0634\u0627\u0646 \u0645\u06cc \u062f\u0647\u062f.<\/p>\n<blockquote>\n<p>\u062f\u0631 \u0627\u06cc\u0646 \u0628\u062e\u0634\u060c \u062c\u0632\u0626\u06cc\u0627\u062a \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0645\u0633\u06a9\u0646 \u06a9\u0627\u0644\u06cc\u0641\u0631\u0646\u06cc\u0627 \u0631\u0627 \u0628\u0631\u0631\u0633\u06cc \u0645\u06cc \u06a9\u0646\u06cc\u0645\u060c \u0628\u0646\u0627\u0628\u0631\u0627\u06cc\u0646 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u062f\u0631\u06a9 \u0628\u0635\u0631\u06cc \u0627\u0632 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc\u06cc \u06a9\u0647 \u0628\u0627 \u0622\u0646\u0647\u0627 \u06a9\u0627\u0631 \u062e\u0648\u0627\u0647\u06cc\u0645 \u06a9\u0631\u062f \u0628\u0647 \u062f\u0633\u062a \u0622\u0648\u0631\u06cc\u062f.  \u0642\u0628\u0644 \u0627\u0632 \u0634\u0631\u0648\u0639 \u06a9\u0627\u0631 \u0628\u0633\u06cc\u0627\u0631 \u0645\u0647\u0645 \u0627\u0633\u062a \u06a9\u0647 \u0627\u0637\u0644\u0627\u0639\u0627\u062a \u062e\u0648\u062f \u0631\u0627 \u0628\u0634\u0646\u0627\u0633\u06cc\u062f \u0631\u0648\u06cc \u0622\u06cc \u062a\u06cc.<\/p>\n<\/blockquote>\n<p>\u0622 <em>\u0645\u0633\u062f\u0648\u062f \u06a9\u0631\u062f\u0646<\/em> \u06af\u0631\u0648\u0647 \u06a9\u0648\u0686\u06a9\u062a\u0631\u06cc\u0646 \u0648\u0627\u062d\u062f \u062c\u063a\u0631\u0627\u0641\u06cc\u0627\u06cc\u06cc \u0627\u0633\u062a \u06a9\u0647 \u0627\u062f\u0627\u0631\u0647 \u0633\u0631\u0634\u0645\u0627\u0631\u06cc \u0627\u06cc\u0627\u0644\u0627\u062a \u0645\u062a\u062d\u062f\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0646\u0645\u0648\u0646\u0647 \u0631\u0627 \u0628\u0631\u0627\u06cc \u0622\u0646 \u0645\u0646\u062a\u0634\u0631 \u0645\u06cc \u06a9\u0646\u062f.  \u0639\u0644\u0627\u0648\u0647 \u0628\u0631 \u06af\u0631\u0648\u0647 \u0628\u0644\u0648\u06a9\u060c \u0627\u0635\u0637\u0644\u0627\u062d \u062f\u06cc\u06af\u0631\u06cc \u06a9\u0647 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc\u200c\u0634\u0648\u062f\u060c \u062e\u0627\u0646\u0648\u0627\u0631 \u0627\u0633\u062a\u060c \u062e\u0627\u0646\u0648\u0627\u0631 \u06af\u0631\u0648\u0647\u06cc \u0627\u0632 \u0627\u0641\u0631\u0627\u062f \u0633\u0627\u06a9\u0646 \u062f\u0631 \u06cc\u06a9 \u062e\u0627\u0646\u0647 \u0627\u0633\u062a.<\/p>\n<p>\u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0627\u0632 \u0646\u0647 \u0648\u06cc\u0698\u06af\u06cc \u062a\u0634\u06a9\u06cc\u0644 \u0634\u062f\u0647 \u0627\u0633\u062a:<\/p>\n<ul>\n<li><code>MedInc<\/code>  &#8211; \u062f\u0631\u0622\u0645\u062f \u0645\u062a\u0648\u0633\u0637 \u200b\u200b\u062f\u0631 \u06af\u0631\u0648\u0647 \u0628\u0644\u0648\u06a9\u06cc<\/li>\n<li><code>HouseAge<\/code>  &#8211; \u0645\u06cc\u0627\u0646\u0647 \u0633\u0646 \u062e\u0627\u0646\u0647 \u062f\u0631 \u06cc\u06a9 \u06af\u0631\u0648\u0647 \u0628\u0644\u0648\u06a9\u06cc<\/li>\n<li><code>AveRooms<\/code>  &#8211; \u0645\u06cc\u0627\u0646\u06af\u06cc\u0646 \u062a\u0639\u062f\u0627\u062f \u0627\u062a\u0627\u0642 (\u0627\u0631\u0627\u0626\u0647 \u0634\u062f\u0647 \u0628\u0631\u0627\u06cc \u0647\u0631 \u062e\u0627\u0646\u0648\u0627\u0631)<\/li>\n<li><code>AveBedrms<\/code>  &#8211; \u0645\u06cc\u0627\u0646\u06af\u06cc\u0646 \u062a\u0639\u062f\u0627\u062f \u0627\u062a\u0627\u0642 \u062e\u0648\u0627\u0628 (\u0627\u0631\u0627\u0626\u0647 \u0634\u062f\u0647 \u0628\u0631\u0627\u06cc \u0647\u0631 \u062e\u0627\u0646\u0648\u0627\u0631)<\/li>\n<li><code>Population<\/code>  &#8211; \u0628\u0644\u0648\u06a9 \u062c\u0645\u0639\u06cc\u062a \u06af\u0631\u0648\u0647<\/li>\n<li><code>AveOccup<\/code>  &#8211; \u0645\u06cc\u0627\u0646\u06af\u06cc\u0646 \u062a\u0639\u062f\u0627\u062f \u0627\u0639\u0636\u0627\u06cc \u062e\u0627\u0646\u0648\u0627\u0631<\/li>\n<li><code>Latitude<\/code>  &#8211; \u0628\u0644\u0648\u06a9 \u0639\u0631\u0636 \u062c\u063a\u0631\u0627\u0641\u06cc\u0627\u06cc\u06cc \u06af\u0631\u0648\u0647<\/li>\n<li><code>Longitude<\/code>  &#8211; \u0637\u0648\u0644 \u06af\u0631\u0648\u0647 \u0628\u0644\u0648\u06a9<\/li>\n<li><code>MedHouseVal<\/code>  &#8211; \u0645\u06cc\u0627\u0646\u06af\u06cc\u0646 \u0627\u0631\u0632\u0634 \u062e\u0627\u0646\u0647 \u0628\u0631\u0627\u06cc \u0645\u0646\u0627\u0637\u0642 \u06a9\u0627\u0644\u06cc\u0641\u0631\u0646\u06cc\u0627 (\u0635\u062f\u0647\u0627 \u0647\u0632\u0627\u0631 \u062f\u0644\u0627\u0631)<\/li>\n<\/ul>\n<p>\u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0627\u0633\u062a <strong>\u062f\u0631 \u062d\u0627\u0644 \u062d\u0627\u0636\u0631 \u0628\u062e\u0634\u06cc \u0627\u0632 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 Scikit-Learn \u0627\u0633\u062a<\/strong>\u060c \u0645\u0627 \u0641\u0642\u0637 \u0646\u06cc\u0627\u0632 \u062f\u0627\u0631\u06cc\u0645 import \u0622\u0646 \u0631\u0627 \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u06cc\u06a9 \u062f\u06cc\u062a\u0627\u0641\u0631\u06cc\u0645 \u0628\u0627\u0631\u06af\u0630\u0627\u0631\u06cc \u06a9\u0646\u06cc\u062f:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">from<\/span> sklearn.datasets <span class=\"hljs-keyword\">import<\/span> fetch_california_housing\n\ncalifornia_housing = fetch_california_housing(as_frame=<span class=\"hljs-literal\">True<\/span>)\n\ndf = california_housing.frame\n<\/code><\/pre>\n<p>\u0648\u0627\u0631\u062f \u06a9\u0631\u062f\u0646 \u0645\u0633\u062a\u0642\u06cc\u0645 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0627\u0632 Scikit-Learn\u060c \u0628\u06cc\u0634 \u0627\u0632 \u0633\u062a\u0648\u0646 \u0647\u0627 \u0648 \u0627\u0639\u062f\u0627\u062f \u0631\u0627 \u0648\u0627\u0631\u062f \u0645\u06cc \u06a9\u0646\u062f \u0648 \u0634\u0627\u0645\u0644 \u062a\u0648\u0636\u06cc\u062d\u0627\u062a \u062f\u0627\u062f\u0647 \u0647\u0627 \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 <code>Bunch<\/code> \u0634\u06cc &#8211; \u0628\u0646\u0627\u0628\u0631\u0627\u06cc\u0646 \u0645\u0627 \u0641\u0642\u0637 \u0622\u0646 \u0631\u0627 \u0627\u0633\u062a\u062e\u0631\u0627\u062c \u06a9\u0631\u062f\u06cc\u0645 <code>frame<\/code>.  \u062c\u0632\u0626\u06cc\u0627\u062a \u0628\u06cc\u0634\u062a\u0631 \u0627\u0632 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u062f\u0631 \u062f\u0633\u062a\u0631\u0633 \u0627\u0633\u062a <a rel=\"nofollow noopener noreferrer\" target=\"_blank\" href=\"https:\/\/scikit-learn.org\/stable\/modules\/generated\/sklearn.datasets.fetch_california_housing.html\">\u0627\u06cc\u0646\u062c\u0627<\/a>.<\/p>\n<p>\u0627\u062c\u0627\u0632\u0647 \u062f\u0647\u06cc\u062f import \u067e\u0627\u0646\u062f\u0627\u0647\u0627 \u0648 \u0628\u0647 \u0686\u0646\u062f \u0631\u062f\u06cc\u0641 \u0627\u0648\u0644 \u062f\u0627\u062f\u0647 \u0646\u06af\u0627\u0647\u06cc \u0628\u06cc\u0627\u0646\u062f\u0627\u0632\u06cc\u062f:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">import<\/span> pandas <span class=\"hljs-keyword\">as<\/span> pd\ndf.head()\n<\/code><\/pre>\n<p>\u0628\u0627 \u0627\u062c\u0631\u0627\u06cc \u06a9\u062f\u060c \u067e\u0646\u062c \u0631\u062f\u06cc\u0641 \u0627\u0648\u0644 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0645\u0627 \u0646\u0645\u0627\u06cc\u0634 \u062f\u0627\u062f\u0647 \u0645\u06cc \u0634\u0648\u062f:<\/p>\n<pre><code class=\"hljs\">    MedInc  HouseAge  AveRooms  AveBedrms  Population  AveOccup   Latitude  Longitude  MedHouseVal\n0 \t8.3252 \t41.0 \t  6.984127 \t1.023810   322.0 \t   2.555556   37.88 \t-122.23    4.526\n1 \t8.3014 \t21.0 \t  6.238137 \t0.971880   2401.0 \t   2.109842   37.86 \t-122.22    3.585\n2 \t7.2574 \t52.0 \t  8.288136 \t1.073446   496.0 \t   2.802260   37.85 \t-122.24    3.521\n3 \t5.6431 \t52.0 \t  5.817352 \t1.073059   558.0 \t   2.547945   37.85 \t-122.25    3.413\n4 \t3.8462 \t52.0 \t  6.281853 \t1.081081   565.0 \t   2.181467   37.85 \t-122.25    3.422\n<\/code><\/pre>\n<p>\u062f\u0631 \u0627\u06cc\u0646 \u0631\u0627\u0647\u0646\u0645\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u062e\u0648\u0627\u0647\u06cc\u0645 \u06a9\u0631\u062f <code>MedInc<\/code>\u060c <code>HouseAge<\/code>\u060c <code>AveRooms<\/code>\u060c <code>AveBedrms<\/code>\u060c <code>Population<\/code>\u060c <code>AveOccup<\/code>\u060c <code>Latitude<\/code>\u060c <code>Longitude<\/code> \u0628\u0631\u0627\u06cc \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc <code>MedHouseVal<\/code>.  \u0686\u06cc\u0632\u06cc \u0634\u0628\u06cc\u0647 \u0628\u0647 \u0631\u0648\u0627\u06cc\u062a \u0627\u0646\u06af\u06cc\u0632\u0647 \u0645\u0627.<\/p>\n<p>\u0628\u06cc\u0627\u06cc\u06cc\u062f \u0627\u06a9\u0646\u0648\u0646 \u0645\u0633\u062a\u0642\u06cc\u0645\u0627\u064b \u0628\u0647 \u0627\u062c\u0631\u0627\u06cc \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 KNN \u0628\u0631\u0627\u06cc \u0631\u06af\u0631\u0633\u06cc\u0648\u0646 \u0628\u067e\u0631\u062f\u0627\u0632\u06cc\u0645.<\/p>\n<h2 id=\"regressionwithknearestneighborswithscikitlearn\"><span class=\"ez-toc-section\" id=\"%d8%b1%da%af%d8%b1%d8%b3%db%8c%d9%88%d9%86_%d8%a8%d8%a7_k-%d9%86%d8%b2%d8%af%db%8c%da%a9%d8%aa%d8%b1%db%8c%d9%86_%d9%87%d9%85%d8%b3%d8%a7%db%8c%da%af%d8%a7%d9%86_%d8%a8%d8%a7_scikit-learn\"><\/span>\u0631\u06af\u0631\u0633\u06cc\u0648\u0646 \u0628\u0627 K-\u0646\u0632\u062f\u06cc\u06a9\u062a\u0631\u06cc\u0646 \u0647\u0645\u0633\u0627\u06cc\u06af\u0627\u0646 \u0628\u0627 Scikit-Learn<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u062a\u0627 \u0627\u06cc\u0646\u062c\u0627\u060c \u0645\u0627 \u0628\u0627 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u062e\u0648\u062f \u0622\u0634\u0646\u0627 \u0634\u062f\u06cc\u0645 \u0648 \u0627\u06a9\u0646\u0648\u0646 \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u06cc\u0645 \u0628\u0647 \u0645\u0631\u0627\u062d\u0644 \u062f\u06cc\u06af\u0631 \u062f\u0631 \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 KNN \u0628\u0631\u0648\u06cc\u0645.<\/p>\n<h3 id=\"preprocessingdataforknnregression\"><span class=\"ez-toc-section\" id=\"%d9%be%db%8c%d8%b4_%d9%be%d8%b1%d8%af%d8%a7%d8%b2%d8%b4_%d8%af%d8%a7%d8%af%d9%87_%d9%87%d8%a7_%d8%a8%d8%b1%d8%a7%db%8c_%d8%b1%da%af%d8%b1%d8%b3%db%8c%d9%88%d9%86_knn\"><\/span>\u067e\u06cc\u0634 \u067e\u0631\u062f\u0627\u0632\u0634 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0628\u0631\u0627\u06cc \u0631\u06af\u0631\u0633\u06cc\u0648\u0646 KNN<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u067e\u06cc\u0634 \u067e\u0631\u062f\u0627\u0632\u0634 \u062c\u0627\u06cc\u06cc \u0627\u0633\u062a \u06a9\u0647 \u0627\u0648\u0644\u06cc\u0646 \u062a\u0641\u0627\u0648\u062a \u0628\u06cc\u0646 \u0648\u0638\u0627\u06cc\u0641 \u0631\u06af\u0631\u0633\u06cc\u0648\u0646 \u0648 \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u0638\u0627\u0647\u0631 \u0645\u06cc \u0634\u0648\u062f.  \u0627\u0632 \u0622\u0646\u062c\u0627\u06cc\u06cc \u06a9\u0647 \u0627\u06cc\u0646 \u0628\u062e\u0634 \u062a\u0645\u0627\u0645\u0627\u064b \u062f\u0631 \u0645\u0648\u0631\u062f \u0631\u06af\u0631\u0633\u06cc\u0648\u0646 \u0627\u0633\u062a\u060c \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u062e\u0648\u062f \u0631\u0627 \u0628\u0631 \u0627\u06cc\u0646 \u0627\u0633\u0627\u0633 \u0622\u0645\u0627\u062f\u0647 \u062e\u0648\u0627\u0647\u06cc\u0645 \u06a9\u0631\u062f.<\/p>\n<p>\u0628\u0631\u0627\u06cc \u0631\u06af\u0631\u0633\u06cc\u0648\u0646\u060c \u0645\u0627 \u0646\u06cc\u0627\u0632 \u0628\u0647 \u067e\u06cc\u0634\u200c\u0628\u06cc\u0646\u06cc \u0627\u0631\u0632\u0634 \u062e\u0627\u0646\u0647 \u0645\u062a\u0648\u0633\u0637 \u200b\u200b\u062f\u06cc\u06af\u0631\u06cc \u062f\u0627\u0631\u06cc\u0645.  \u0628\u0631\u0627\u06cc \u0627\u0646\u062c\u0627\u0645 \u0627\u06cc\u0646 \u06a9\u0627\u0631\u060c \u0645\u0627 \u062a\u0639\u06cc\u06cc\u0646 \u0645\u06cc \u06a9\u0646\u06cc\u0645 <code>MedHouseVal<\/code> \u0628\u0647 <code>y<\/code> \u0648 \u062a\u0645\u0627\u0645 \u0633\u062a\u0648\u0646 \u0647\u0627\u06cc \u062f\u06cc\u06af\u0631 \u0628\u0647 <code>X<\/code> \u0641\u0642\u0637 \u0628\u0627 \u0627\u0646\u062f\u0627\u062e\u062a\u0646 <code>MedHouseVal<\/code>:<\/p>\n<pre><code class=\"hljs\">y = df(<span class=\"hljs-string\">'MedHouseVal'<\/span>)\nX = df.drop((<span class=\"hljs-string\">'MedHouseVal'<\/span>), axis = <span class=\"hljs-number\">1<\/span>)\n<\/code><\/pre>\n<p>\u0628\u0627 \u0646\u06af\u0627\u0647\u06cc \u0628\u0647 \u062a\u0648\u0636\u06cc\u062d\u0627\u062a \u0645\u062a\u063a\u06cc\u0631\u0647\u0627\u06cc\u0645\u0627\u0646\u060c \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u06cc\u0645 \u0645\u062a\u0648\u062c\u0647 \u0634\u0648\u06cc\u0645 \u06a9\u0647 \u062a\u0641\u0627\u0648\u062a\u200c\u0647\u0627\u06cc\u06cc \u062f\u0631 \u0627\u0646\u062f\u0627\u0632\u0647\u200c\u06af\u06cc\u0631\u06cc\u200c\u0647\u0627 \u062f\u0627\u0631\u06cc\u0645.  \u0628\u0631\u0627\u06cc \u062c\u0644\u0648\u06af\u06cc\u0631\u06cc \u0627\u0632 \u062d\u062f\u0633 \u0632\u062f\u0646\u060c \u0628\u06cc\u0627\u06cc\u06cc\u062f \u0627\u0632 \u0622\u0646 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u0645 <code>describe()<\/code> \u0631\u0648\u0634 \u0628\u0631\u0631\u0633\u06cc:<\/p>\n<pre><code class=\"hljs\">\nX.describe().T\n<\/code><\/pre>\n<p>\u0627\u06cc\u0646 \u0646\u062a\u06cc\u062c\u0647 \u062f\u0631:<\/p>\n<pre><code class=\"hljs\">            count \t  mean \t\t   std \t\t\tmin \t\t25% \t\t50% \t\t75% \t\tmax\nMedInc \t\t20640.0   3.870671 \t   1.899822 \t0.499900 \t2.563400 \t3.534800 \t4.743250 \t15.000100\nHouseAge \t20640.0   28.639486    12.585558 \t1.000000 \t18.000000 \t29.000000 \t37.000000 \t52.000000\nAveRooms \t20640.0   5.429000 \t   2.474173 \t0.846154 \t4.440716 \t5.229129 \t6.052381 \t141.909091\nAveBedrms \t20640.0   1.096675 \t   0.473911 \t0.333333 \t1.006079 \t1.048780 \t1.099526 \t34.066667\nPopulation \t20640.0   1425.476744  1132.462122 \t3.000000 \t787.000000 \t1166.000000 1725.000000 35682.000000\nAveOccup \t20640.0   3.070655 \t   10.386050 \t0.692308 \t2.429741 \t2.818116 \t3.282261 \t1243.333333\nLatitude \t20640.0   35.631861    2.135952 \t32.540000 \t33.930000 \t34.260000 \t37.710000 \t41.950000\nLongitude \t20640.0   -119.569704  2.003532    -124.350000 -121.800000 \t-118.490000 -118.010000 -114.310000\n<\/code><\/pre>\n<p>\u062f\u0631 \u0627\u06cc\u0646\u062c\u0627\u060c \u0645\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u0628\u0628\u06cc\u0646\u06cc\u0645 \u06a9\u0647 <code>mean<\/code> \u0627\u0631\u0632\u0634 <code>MedInc<\/code> \u062a\u0642\u0631\u06cc\u0628\u0627 \u0627\u0633\u062a <code>3.87<\/code> \u0648 <code>mean<\/code> \u0627\u0631\u0632\u0634 <code>HouseAge<\/code> \u062f\u0631 \u0645\u0648\u0631\u062f \u0627\u0633\u062a <code>28.64<\/code>\u060c \u06a9\u0647 \u0622\u0646 \u0631\u0627 7.4 \u0628\u0631\u0627\u0628\u0631 \u0628\u0632\u0631\u06af\u062a\u0631 \u0645\u06cc \u06a9\u0646\u062f <code>MedInc<\/code>.  \u0633\u0627\u06cc\u0631 \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627 \u0646\u06cc\u0632 \u062a\u0641\u0627\u0648\u062a \u0647\u0627\u06cc\u06cc \u062f\u0631 \u0645\u06cc\u0627\u0646\u06af\u06cc\u0646 \u0648 \u0627\u0646\u062d\u0631\u0627\u0641 \u0645\u0639\u06cc\u0627\u0631 \u062f\u0627\u0631\u0646\u062f &#8211; \u0628\u0631\u0627\u06cc \u0645\u0634\u0627\u0647\u062f\u0647 \u0622\u0646\u060c \u0628\u0647 \u0622\u0646 \u0646\u06af\u0627\u0647 \u06a9\u0646\u06cc\u062f <code>mean<\/code> \u0648 <code>std<\/code> \u0627\u0631\u0632\u0634 \u0647\u0627 \u0631\u0627 \u0645\u0634\u0627\u0647\u062f\u0647 \u06a9\u0646\u06cc\u062f \u0648 \u0645\u0634\u0627\u0647\u062f\u0647 \u06a9\u0646\u06cc\u062f \u06a9\u0647 \u0686\u06af\u0648\u0646\u0647 \u0627\u0632 \u06cc\u06a9\u062f\u06cc\u06af\u0631 \u0641\u0627\u0635\u0644\u0647 \u062f\u0627\u0631\u0646\u062f.  \u0628\u0631\u0627\u06cc <code>MedInc<\/code> <code>std<\/code>  \u062a\u0642\u0631\u06cc\u0628\u0627 \u0627\u0633\u062a <code>1.9<\/code>\u060c \u0628\u0631\u0627\u06cc <code>HouseAge<\/code>\u060c <code>std<\/code> \u0627\u0633\u062a <code>12.59<\/code> \u0648 \u0647\u0645\u06cc\u0646 \u0627\u0645\u0631 \u062f\u0631 \u0645\u0648\u0631\u062f \u0633\u0627\u06cc\u0631 \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627 \u0646\u06cc\u0632 \u0635\u062f\u0642 \u0645\u06cc \u06a9\u0646\u062f.<\/p>\n<p>\u0645\u0627 \u0627\u0632 \u06cc\u06a9 \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u0645\u0628\u062a\u0646\u06cc \u0628\u0631 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u06a9\u0646\u06cc\u0645 \u0631\u0648\u06cc <em>\u0641\u0627\u0635\u0644\u0647<\/em> \u0648 \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645\u200c\u0647\u0627\u06cc \u0645\u0628\u062a\u0646\u06cc \u0628\u0631 \u0641\u0627\u0635\u0644\u0647 \u0628\u0647 \u0634\u062f\u062a \u0627\u0632 \u062f\u0627\u062f\u0647\u200c\u0647\u0627\u06cc\u06cc \u0631\u0646\u062c \u0645\u06cc\u200c\u0628\u0631\u0646\u062f \u06a9\u0647 \u0627\u06cc\u0646\u0637\u0648\u0631 \u0646\u06cc\u0633\u062a\u0646\u062f \u0631\u0648\u06cc \u0647\u0645\u0627\u0646 \u0645\u0642\u06cc\u0627\u0633\u060c \u0645\u0627\u0646\u0646\u062f \u0627\u06cc\u0646 \u062f\u0627\u062f\u0647 \u0647\u0627.  \u0645\u0642\u06cc\u0627\u0633 \u0646\u0642\u0627\u0637 \u0645\u0645\u06a9\u0646 \u0627\u0633\u062a (\u0648 \u062f\u0631 \u0639\u0645\u0644\u060c \u062a\u0642\u0631\u06cc\u0628\u0627\u064b \u0647\u0645\u06cc\u0634\u0647) \u0641\u0627\u0635\u0644\u0647 \u0648\u0627\u0642\u0639\u06cc \u0628\u06cc\u0646 \u0645\u0642\u0627\u062f\u06cc\u0631 \u0631\u0627 \u0645\u062e\u062f\u0648\u0634 \u06a9\u0646\u062f.<\/p>\n<p>\u0628\u0631\u0627\u06cc \u0627\u062c\u0631\u0627\u06cc Feature Scaling\u060c \u0627\u0632 Scikit-Learn \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u062e\u0648\u0627\u0647\u06cc\u0645 \u06a9\u0631\u062f <code>StandardScaler<\/code> \u06a9\u0644\u0627\u0633 \u0628\u0639\u062f  \u0627\u06af\u0631 \u0645\u0642\u06cc\u0627\u0633 \u06af\u0630\u0627\u0631\u06cc \u0631\u0627 \u062f\u0631 \u062d\u0627\u0644 \u062d\u0627\u0636\u0631 \u0627\u0639\u0645\u0627\u0644 \u06a9\u0646\u06cc\u0645 (\u0642\u0628\u0644 \u0627\u0632 \u062a\u0642\u0633\u06cc\u0645 \u0622\u0632\u0645\u0648\u0646 \u0642\u0637\u0627\u0631)\u060c \u0645\u062d\u0627\u0633\u0628\u0647 \u0628\u0647 \u0637\u0648\u0631 \u0645\u0648\u062b\u0631 \u0634\u0627\u0645\u0644 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0622\u0632\u0645\u0627\u06cc\u0634\u06cc \u0645\u06cc \u0634\u0648\u062f. <em>\u0646\u0634\u062a\u06cc<\/em> \u0627\u0637\u0644\u0627\u0639\u0627\u062a \u062f\u0627\u062f\u0647 \u0647\u0627 \u0631\u0627 \u062f\u0631 \u0628\u0642\u06cc\u0647 \u062e\u0637 \u0644\u0648\u0644\u0647 \u0622\u0632\u0645\u0627\u06cc\u0634 \u06a9\u0646\u06cc\u062f.  \u0627\u06cc\u0646 \u0646\u0648\u0639 <em>\u0646\u0634\u062a \u062f\u0627\u062f\u0647<\/em> \u0645\u062a\u0623\u0633\u0641\u0627\u0646\u0647 \u0645\u0639\u0645\u0648\u0644\u0627\u064b \u0646\u0627\u062f\u06cc\u062f\u0647 \u06af\u0631\u0641\u062a\u0647 \u0645\u06cc \u0634\u0648\u062f \u06a9\u0647 \u0645\u0646\u062c\u0631 \u0628\u0647 \u06cc\u0627\u0641\u062a\u0647 \u0647\u0627\u06cc \u063a\u06cc\u0631\u0642\u0627\u0628\u0644 \u062a\u06a9\u0631\u0627\u0631 \u06cc\u0627 \u062a\u0648\u0647\u0645 \u0645\u06cc \u0634\u0648\u062f.<\/p>\n<h3 id=\"splittingdataintotrainandtestsets\"><span class=\"ez-toc-section\" id=\"%d8%aa%d9%82%d8%b3%db%8c%d9%85_%d8%af%d8%a7%d8%af%d9%87_%d9%87%d8%a7_%d8%a8%d9%87_%d9%85%d8%ac%d9%85%d9%88%d8%b9%d9%87_%d9%87%d8%a7%db%8c_%d9%82%d8%b7%d8%a7%d8%b1_%d9%88_%d8%aa%d8%b3%d8%aa\"><\/span>\u062a\u0642\u0633\u06cc\u0645 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0628\u0647 \u0645\u062c\u0645\u0648\u0639\u0647 \u0647\u0627\u06cc \u0642\u0637\u0627\u0631 \u0648 \u062a\u0633\u062a<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u0628\u0631\u0627\u06cc \u0627\u06cc\u0646\u06a9\u0647 \u0628\u062a\u0648\u0627\u0646\u06cc\u0645 \u062f\u0627\u062f\u0647\u200c\u0647\u0627\u06cc \u062e\u0648\u062f \u0631\u0627 \u0628\u062f\u0648\u0646 \u0646\u0634\u062a\u06cc \u0645\u0642\u06cc\u0627\u0633\u200c\u0628\u0646\u062f\u06cc \u06a9\u0646\u06cc\u0645\u060c \u0627\u0645\u0627 \u0647\u0645\u0686\u0646\u06cc\u0646 \u0628\u0631\u0627\u06cc \u0627\u0631\u0632\u06cc\u0627\u0628\u06cc \u0646\u062a\u0627\u06cc\u062c \u0648 \u062c\u0644\u0648\u06af\u06cc\u0631\u06cc \u0627\u0632 \u062a\u0637\u0628\u06cc\u0642 \u0628\u06cc\u0634 \u0627\u0632 \u062d\u062f\u060c \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647\u200c\u0647\u0627\u06cc \u062e\u0648\u062f \u0631\u0627 \u0628\u0647 \u062f\u0648 \u0628\u062e\u0634 \u0642\u0637\u0627\u0631 \u0648 \u0622\u0632\u0645\u0627\u06cc\u0634 \u062a\u0642\u0633\u06cc\u0645 \u0645\u06cc\u200c\u06a9\u0646\u06cc\u0645.<\/p>\n<p>\u06cc\u06a9 \u0631\u0627\u0647 \u0633\u0627\u062f\u0647 \u0628\u0631\u0627\u06cc \u0627\u06cc\u062c\u0627\u062f \u062a\u0642\u0633\u06cc\u0645\u200c\u0647\u0627\u06cc \u0642\u0637\u0627\u0631 \u0648 \u0622\u0632\u0645\u0627\u06cc\u0634\u060c \u0627\u06cc\u0646 \u0627\u0633\u062a <code>train_test_split<\/code> \u0631\u0648\u0634 \u0627\u0632 Scikit-Learn.  \u062a\u0642\u0633\u06cc\u0645 \u062f\u0631 \u0646\u0642\u0637\u0647 \u0627\u06cc \u0628\u0647 \u0635\u0648\u0631\u062a \u062e\u0637\u06cc \u062a\u0642\u0633\u06cc\u0645 \u0646\u0645\u06cc \u0634\u0648\u062f\u060c \u0627\u0645\u0627 X% \u0648 Y% \u0631\u0627 \u0628\u0647 \u0635\u0648\u0631\u062a \u062a\u0635\u0627\u062f\u0641\u06cc \u0646\u0645\u0648\u0646\u0647 \u0628\u0631\u062f\u0627\u0631\u06cc \u0645\u06cc \u06a9\u0646\u062f.  \u0628\u0631\u0627\u06cc \u0633\u0627\u062e\u062a\u0646 \u0627\u06cc\u0646 process \u0642\u0627\u0628\u0644 \u062a\u06a9\u0631\u0627\u0631 (\u0628\u0631\u0627\u06cc \u0627\u06cc\u0646\u06a9\u0647 \u0631\u0648\u0634 \u0647\u0645\u06cc\u0634\u0647 \u0627\u0632 \u0647\u0645\u0627\u0646 \u0646\u0642\u0627\u0637 \u062f\u0627\u062f\u0647 \u0646\u0645\u0648\u0646\u0647 \u0628\u0631\u062f\u0627\u0631\u06cc \u06a9\u0646\u062f)\u060c \u0645\u0642\u062f\u0627\u0631 \u0631\u0627 \u062a\u0646\u0638\u06cc\u0645 \u0645\u06cc \u06a9\u0646\u06cc\u0645 <code>random_state<\/code> \u0627\u0633\u062a\u062f\u0644\u0627\u0644 \u0628\u0647 \u0645\u0639\u06cc\u0646 <code>SEED<\/code>:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">from<\/span> sklearn.model_selection <span class=\"hljs-keyword\">import<\/span> train_test_split\n\nSEED = <span class=\"hljs-number\">42<\/span>\nX_train, X_test, y_train, y_test = train_test_split(X, y, test_size=<span class=\"hljs-number\">0.25<\/span>, random_state=SEED)\n<\/code><\/pre>\n<p>\u0627\u06cc\u0646 \u0642\u0637\u0639\u0647 \u06a9\u062f 75 \u062f\u0631\u0635\u062f \u0627\u0632 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0631\u0627 \u0628\u0631\u0627\u06cc \u0622\u0645\u0648\u0632\u0634 \u0648 25 \u062f\u0631\u0635\u062f \u0627\u0632 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0631\u0627 \u0628\u0631\u0627\u06cc \u0622\u0632\u0645\u0627\u06cc\u0634 \u0646\u0645\u0648\u0646\u0647 \u0628\u0631\u062f\u0627\u0631\u06cc \u0645\u06cc \u06a9\u0646\u062f.  \u0628\u0627 \u062a\u063a\u06cc\u06cc\u0631 \u062f\u0631 <code>test_size<\/code> \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0645\u062b\u0627\u0644\u060c \u0628\u0647 0.3\u060c \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0628\u0627 70\u066a \u0627\u0632 \u062f\u0627\u062f\u0647 \u0647\u0627 \u062a\u0645\u0631\u06cc\u0646 \u06a9\u0646\u06cc\u062f \u0648 \u0628\u0627 30\u066a \u062a\u0633\u062a \u06a9\u0646\u06cc\u062f.<\/p>\n<p>\u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 75 \u062f\u0631\u0635\u062f \u062f\u0627\u062f\u0647 \u0647\u0627 \u0628\u0631\u0627\u06cc \u0622\u0645\u0648\u0632\u0634 \u0648 25 \u062f\u0631\u0635\u062f \u0628\u0631\u0627\u06cc \u0622\u0632\u0645\u0627\u06cc\u0634\u060c \u0627\u0632 20640 \u0631\u06a9\u0648\u0631\u062f\u060c \u0645\u062c\u0645\u0648\u0639\u0647 \u0622\u0645\u0648\u0632\u0634\u06cc \u0634\u0627\u0645\u0644 15480 \u0648 \u0645\u062c\u0645\u0648\u0639\u0647 \u0622\u0632\u0645\u0627\u06cc\u0634\u06cc \u0634\u0627\u0645\u0644 5160 \u0627\u0633\u062a. \u0645\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u0628\u0627 \u0686\u0627\u067e \u0637\u0648\u0644 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u06a9\u0627\u0645\u0644 \u0648 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u062a\u0642\u0633\u06cc\u0645 \u0634\u062f\u0647 \u0628\u0647 \u0633\u0631\u0639\u062a \u0622\u0646 \u0627\u0639\u062f\u0627\u062f \u0631\u0627 \u0628\u0631\u0631\u0633\u06cc \u06a9\u0646\u06cc\u0645. :<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-built_in\">len<\/span>(X)       \n<span class=\"hljs-built_in\">len<\/span>(X_train) \n<span class=\"hljs-built_in\">len<\/span>(X_test)  \n<\/code><\/pre>\n<p>\u0639\u0627\u0644\u06cc!  \u0627\u06a9\u0646\u0648\u0646 \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u06cc\u0645 \u0645\u0642\u06cc\u0627\u0633\u200c\u06a9\u0646\u0646\u062f\u0647 \u062f\u0627\u062f\u0647 \u0631\u0627 \u0645\u062a\u0646\u0627\u0633\u0628 \u06a9\u0646\u06cc\u0645 \u0631\u0648\u06cc \u0631\u0627 <code>X_train<\/code> \u062a\u0646\u0638\u06cc\u0645 \u06a9\u0646\u06cc\u062f \u0648 \u0647\u0631 \u062f\u0648 \u0631\u0627 \u0645\u0642\u06cc\u0627\u0633 \u06a9\u0646\u06cc\u062f <code>X_train<\/code> \u0648 <code>X_test<\/code> \u0628\u062f\u0648\u0646 \u062f\u0631\u0632 \u0647\u06cc\u0686 \u0627\u0637\u0644\u0627\u0639\u0627\u062a\u06cc \u0627\u0632 <code>X_test<\/code> \u0628\u0647 <code>X_train<\/code>.<\/p>\n<h3 id=\"featurescalingforknnregression\"><span class=\"ez-toc-section\" id=\"%d9%85%d9%82%db%8c%d8%a7%d8%b3_%d8%a8%d9%86%d8%af%db%8c_%d9%88%db%8c%da%98%da%af%db%8c_%d8%a8%d8%b1%d8%a7%db%8c_%d8%b1%da%af%d8%b1%d8%b3%db%8c%d9%88%d9%86_knn\"><\/span>\u0645\u0642\u06cc\u0627\u0633 \u0628\u0646\u062f\u06cc \u0648\u06cc\u0698\u06af\u06cc \u0628\u0631\u0627\u06cc \u0631\u06af\u0631\u0633\u06cc\u0648\u0646 KNN<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u0628\u0627 \u0648\u0627\u0631\u062f\u0627\u062a <code>StandardScaler<\/code>\u0628\u0627 \u0646\u0645\u0648\u0646\u0647\u200c\u0628\u0631\u062f\u0627\u0631\u06cc \u0627\u0632 \u0622\u0646\u060c \u0628\u0631\u0627\u0632\u0634 \u0622\u0646 \u0628\u0631 \u0627\u0633\u0627\u0633 \u062f\u0627\u062f\u0647\u200c\u0647\u0627\u06cc \u0642\u0637\u0627\u0631 \u0645\u0627 (\u062c\u0644\u0648\u06af\u06cc\u0631\u06cc \u0627\u0632 \u0646\u0634\u062a)\u060c \u0648 \u062a\u0628\u062f\u06cc\u0644 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647\u200c\u0647\u0627\u06cc \u0642\u0637\u0627\u0631 \u0648 \u0622\u0632\u0645\u0627\u06cc\u0634\u060c \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u06cc\u0645 \u0645\u0642\u06cc\u0627\u0633\u200c\u0628\u0646\u062f\u06cc \u0648\u06cc\u0698\u06af\u06cc \u0631\u0627 \u0627\u0646\u062c\u0627\u0645 \u062f\u0647\u06cc\u0645:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">from<\/span> sklearn.preprocessing <span class=\"hljs-keyword\">import<\/span> StandardScaler\n\nscaler = StandardScaler()\n\nscaler.fit(X_train)\n\n\nX_train = scaler.transform(X_train)\nX_test = scaler.transform(X_test)\n<\/code><\/pre>\n<div class=\"alert alert-note\">\n<div class=\"flex\">\n<div class=\"flex-shrink-0 mr-3\"><\/div>\n<div class=\"w-full\">\n<p><strong>\u062a\u0648\u062c\u0647 \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u06cc\u062f:<\/strong> \u0627\u0632 \u0622\u0646\u062c\u0627 \u06a9\u0647 \u0634\u0645\u0627 \u0627\u063a\u0644\u0628 \u062a\u0645\u0627\u0633 \u0628\u06af\u06cc\u0631\u06cc\u062f <code>scaler.fit(X_train)<\/code> \u0628\u0647 \u062f\u0646\u0628\u0627\u0644 <code>scaler.transform(X_train)<\/code> &#8211; \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0628\u0627 \u06cc\u06a9 \u0645\u062c\u0631\u062f \u062a\u0645\u0627\u0633 \u0628\u06af\u06cc\u0631\u06cc\u062f <code>scaler.fit_transform(X_train)<\/code> \u0628\u0647 \u062f\u0646\u0628\u0627\u0644 <code>scaler.transform(X_test)<\/code> \u062a\u0627 \u062a\u0645\u0627\u0633 \u06a9\u0648\u062a\u0627\u0647 \u062a\u0631 \u0634\u0648\u062f!<\/p>\n<\/p><\/div><\/div><\/div>\n<p>\u0627\u06a9\u0646\u0648\u0646 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0645\u0627 \u0645\u0642\u06cc\u0627\u0633 \u0634\u062f\u0647 \u0627\u0633\u062a!  \u0645\u0642\u06cc\u0627\u0633\u200c\u06a9\u0646\u0646\u062f\u0647 \u0641\u0642\u0637 \u0646\u0642\u0627\u0637 \u062f\u0627\u062f\u0647 \u0631\u0627 \u062d\u0641\u0638 \u0645\u06cc\u200c\u06a9\u0646\u062f \u0648 \u0646\u0627\u0645 \u0633\u062a\u0648\u0646\u200c\u0647\u0627 \u0631\u0627 \u0647\u0646\u06af\u0627\u0645 \u0627\u0639\u0645\u0627\u0644 \u062d\u0641\u0638 \u0646\u0645\u06cc\u200c\u06a9\u0646\u062f \u0631\u0648\u06cc \u0622 <code>DataFrame<\/code>.  \u0628\u06cc\u0627\u06cc\u06cc\u062f \u062f\u0648\u0628\u0627\u0631\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0631\u0627 \u0628\u0627 \u0646\u0627\u0645 \u0633\u062a\u0648\u0646 \u0647\u0627 \u062f\u0631 \u06cc\u06a9 DataFrame \u0633\u0627\u0632\u0645\u0627\u0646\u062f\u0647\u06cc \u06a9\u0646\u06cc\u0645 \u0648 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u0645 <code>describe()<\/code> \u0628\u0631\u0627\u06cc \u0645\u0634\u0627\u0647\u062f\u0647 \u062a\u063a\u06cc\u06cc\u0631\u0627\u062a \u062f\u0631 <code>mean<\/code> \u0648 <code>std<\/code>:<\/p>\n<pre><code class=\"hljs\">col_names=(<span class=\"hljs-string\">'MedInc'<\/span>, <span class=\"hljs-string\">'HouseAge'<\/span>, <span class=\"hljs-string\">'AveRooms'<\/span>, <span class=\"hljs-string\">'AveBedrms'<\/span>, <span class=\"hljs-string\">'Population'<\/span>, <span class=\"hljs-string\">'AveOccup'<\/span>, <span class=\"hljs-string\">'Latitude'<\/span>, <span class=\"hljs-string\">'Longitude'<\/span>)\nscaled_df = pd.DataFrame(X_train, columns=col_names)\nscaled_df.describe().T\n<\/code><\/pre>\n<p>\u0627\u06cc\u0646 \u0628\u0647 \u0645\u0627 \u0645\u06cc \u062f\u0647\u062f:<\/p>\n<pre><code class=\"hljs\">            count \t\tmean \t\t\tstd \t\tmin \t\t25% \t\t50% \t\t75% \t\tmax\nMedInc \t\t15480.0 \t2.074711e-16 \t1.000032 \t-1.774632 \t-0.688854 \t-0.175663 \t0.464450 \t5.842113\nHouseAge \t15480.0 \t-1.232434e-16 \t1.000032 \t-2.188261 \t-0.840224 \t0.032036 \t0.666407 \t1.855852\nAveRooms \t15480.0 \t-1.620294e-16 \t1.000032 \t-1.877586 \t-0.407008 \t-0.083940 \t0.257082 \t56.357392\nAveBedrms \t15480.0 \t7.435912e-17 \t1.000032 \t-1.740123 \t-0.205765 \t-0.108332 \t0.007435 \t55.925392\nPopulation \t15480.0 \t-8.996536e-17 \t1.000032 \t-1.246395 \t-0.558886 \t-0.227928 \t0.262056 \t29.971725\nAveOccup \t15480.0 \t1.055716e-17 \t1.000032 \t-0.201946 \t-0.056581 \t-0.024172 \t0.014501 \t103.737365\nLatitude \t15480.0 \t7.890329e-16 \t1.000032 \t-1.451215 \t-0.799820 \t-0.645172 \t0.971601 \t2.953905\nLongitude \t15480.0 \t2.206676e-15 \t1.000032 \t-2.380303 \t-1.106817 \t0.536231 \t0.785934 \t2.633738\n<\/code><\/pre>\n<p>\u0645\u0634\u0627\u0647\u062f\u0647 \u06a9\u0646\u06cc\u062f \u06a9\u0647 \u0627\u06a9\u0646\u0648\u0646 \u0647\u0645\u0647 \u0627\u0646\u062d\u0631\u0627\u0641\u0627\u062a \u0627\u0633\u062a\u0627\u0646\u062f\u0627\u0631\u062f \u0686\u06af\u0648\u0646\u0647 \u0647\u0633\u062a\u0646\u062f <code>1<\/code> \u0648 \u0648\u0633\u0627\u06cc\u0644 \u06a9\u0648\u0686\u06a9\u062a\u0631 \u0634\u062f\u0647 \u0627\u0633\u062a.  \u0627\u06cc\u0646 \u0686\u06cc\u0632\u06cc \u0627\u0633\u062a \u06a9\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0645\u0627 \u0631\u0627 \u0645\u06cc \u0633\u0627\u0632\u062f <em>\u06cc\u06a9\u0646\u0648\u0627\u062e\u062a \u062a\u0631<\/em>!  \u0628\u06cc\u0627\u06cc\u06cc\u062f \u06cc\u06a9 \u0631\u06af\u0631\u0633\u06cc\u0648\u0646 \u0645\u0628\u062a\u0646\u06cc \u0628\u0631 KNN \u0631\u0627 \u0622\u0645\u0648\u0632\u0634 \u0648 \u0627\u0631\u0632\u06cc\u0627\u0628\u06cc \u06a9\u0646\u06cc\u0645.<\/p>\n<h3 id=\"trainingandpredictingknnregression\"><span class=\"ez-toc-section\" id=\"%d8%a2%d9%85%d9%88%d8%b2%d8%b4_%d9%88_%d9%be%db%8c%d8%b4_%d8%a8%db%8c%d9%86%db%8c_%d8%b1%da%af%d8%b1%d8%b3%db%8c%d9%88%d9%86_knn\"><\/span>\u0622\u0645\u0648\u0632\u0634 \u0648 \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0631\u06af\u0631\u0633\u06cc\u0648\u0646 KNN<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>API \u0628\u0635\u0631\u06cc \u0648 \u067e\u0627\u06cc\u062f\u0627\u0631 Scikit-Learn \u0628\u0627\u0639\u062b \u0645\u06cc\u200c\u0634\u0648\u062f \u0622\u0645\u0648\u0632\u0634 \u067e\u0633\u200c\u0631\u0648\u0646\u062f\u0647\u200c\u0647\u0627 \u0648 \u0637\u0628\u0642\u0647\u200c\u0628\u0646\u062f\u06cc\u200c\u06a9\u0646\u0646\u062f\u0647\u200c\u0647\u0627 \u0628\u0633\u06cc\u0627\u0631 \u0633\u0627\u062f\u0647 \u0628\u0627\u0634\u062f.  \u0627\u062c\u0627\u0632\u0647 \u062f\u0647\u06cc\u062f import \u0631\u0627 <code>KNeighborsRegressor<\/code> \u06a9\u0644\u0627\u0633 \u0627\u0632 <code>sklearn.neighbors<\/code> \u0645\u0627\u0698\u0648\u0644\u060c \u0622\u0646 \u0631\u0627 \u0646\u0645\u0648\u0646\u0647 \u0633\u0627\u0632\u06cc \u06a9\u0646\u06cc\u062f\u060c \u0648 \u0622\u0646 \u0631\u0627 \u0628\u0627 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0642\u0637\u0627\u0631 \u0645\u0627 \u0645\u0637\u0627\u0628\u0642\u062a \u062f\u0647\u06cc\u062f:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">from<\/span> sklearn.neighbors <span class=\"hljs-keyword\">import<\/span> KNeighborsRegressor\nregressor = KNeighborsRegressor(n_neighbors=<span class=\"hljs-number\">5<\/span>)\nregressor.fit(X_train, y_train)\n<\/code><\/pre>\n<p>\u062f\u0631 \u06a9\u062f \u0628\u0627\u0644\u0627\u060c <code>n_neighbors<\/code> \u0627\u0631\u0632\u0634 \u0628\u0631\u0627\u06cc \u0627\u0633\u062a <em>\u06a9<\/em>\u060c \u06cc\u0627 \u062a\u0639\u062f\u0627\u062f \u0647\u0645\u0633\u0627\u06cc\u0647 \u0647\u0627\u06cc\u06cc \u06a9\u0647 \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u0628\u0631\u0627\u06cc \u0627\u0646\u062a\u062e\u0627\u0628 \u06cc\u06a9 \u0645\u0642\u062f\u0627\u0631 \u0645\u062a\u0648\u0633\u0637 \u200b\u200b\u062e\u0627\u0646\u0647 \u062c\u062f\u06cc\u062f \u062f\u0631 \u0646\u0638\u0631 \u0645\u06cc \u06af\u06cc\u0631\u062f. <code>5<\/code> \u0645\u0642\u062f\u0627\u0631 \u067e\u06cc\u0634 \u0641\u0631\u0636 \u0628\u0631\u0627\u06cc \u0627\u0633\u062a <code>KNeighborsRegressor()<\/code>.  \u0647\u06cc\u0686 \u0645\u0642\u062f\u0627\u0631 \u0627\u06cc\u062f\u0647 \u0622\u0644\u06cc \u0628\u0631\u0627\u06cc K \u0648\u062c\u0648\u062f \u0646\u062f\u0627\u0631\u062f \u0648 \u067e\u0633 \u0627\u0632 \u0622\u0632\u0645\u0627\u06cc\u0634 \u0648 \u0627\u0631\u0632\u06cc\u0627\u0628\u06cc \u0627\u0646\u062a\u062e\u0627\u0628 \u0645\u06cc \u0634\u0648\u062f\u060c \u0627\u0645\u0627 \u0628\u0631\u0627\u06cc \u0634\u0631\u0648\u0639\u060c <code>5<\/code> \u06cc\u06a9 \u0645\u0642\u062f\u0627\u0631 \u0631\u0627\u06cc\u062c \u0628\u0631\u0627\u06cc KNN \u0627\u0633\u062a \u0648 \u0628\u0646\u0627\u0628\u0631\u0627\u06cc\u0646 \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0645\u0642\u062f\u0627\u0631 \u067e\u06cc\u0634 \u0641\u0631\u0636 \u062a\u0646\u0638\u06cc\u0645 \u0634\u062f\u0647 \u0627\u0633\u062a.<\/p>\n<p>\u0645\u0631\u062d\u0644\u0647 \u0622\u062e\u0631 \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0627\u0633\u062a \u0631\u0648\u06cc \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u062a\u0633\u062a \u0645\u0627  \u0628\u0631\u0627\u06cc \u0627\u0646\u062c\u0627\u0645 \u0627\u06cc\u0646 \u06a9\u0627\u0631\u060c \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0632\u06cc\u0631 \u0631\u0627 \u0627\u062c\u0631\u0627 \u06a9\u0646\u06cc\u062f:<\/p>\n<pre><code class=\"hljs\">y_pred = regressor.predict(X_test)\n<\/code><\/pre>\n<p>\u0627\u06a9\u0646\u0648\u0646 \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u06cc\u0645 \u0627\u0631\u0632\u06cc\u0627\u0628\u06cc \u06a9\u0646\u06cc\u0645 \u06a9\u0647 \u0645\u062f\u0644 \u0645\u0627 \u0686\u0642\u062f\u0631 \u0628\u0647 \u062f\u0627\u062f\u0647\u200c\u0647\u0627\u06cc \u062c\u062f\u06cc\u062f\u06cc \u062a\u0639\u0645\u06cc\u0645 \u0645\u06cc\u200c\u06cc\u0627\u0628\u062f \u06a9\u0647 \u0628\u0631\u0686\u0633\u0628\u200c\u0647\u0627\u06cc\u06cc (\u0648\u0627\u0642\u0639\u06cc\u062a \u0632\u0645\u06cc\u0646\u06cc) \u0628\u0631\u0627\u06cc \u0622\u0646\u0647\u0627 \u062f\u0627\u0631\u06cc\u0645 &#8211; \u0645\u062c\u0645\u0648\u0639\u0647 \u0622\u0632\u0645\u0627\u06cc\u0634\u06cc!<\/p>\n<h3 id=\"evaluatingthealgorithmforknnregression\"><span class=\"ez-toc-section\" id=\"%d8%a7%d8%b1%d8%b2%db%8c%d8%a7%d8%a8%db%8c_%d8%a7%d9%84%da%af%d9%88%d8%b1%db%8c%d8%aa%d9%85_%d8%a8%d8%b1%d8%a7%db%8c_%d8%b1%da%af%d8%b1%d8%b3%db%8c%d9%88%d9%86_knn\"><\/span>\u0627\u0631\u0632\u06cc\u0627\u0628\u06cc \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u0628\u0631\u0627\u06cc \u0631\u06af\u0631\u0633\u06cc\u0648\u0646 KNN<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u0645\u062a\u062f\u0627\u0648\u0644 \u062a\u0631\u06cc\u0646 \u0645\u0639\u06cc\u0627\u0631\u0647\u0627\u06cc \u0631\u06af\u0631\u0633\u06cc\u0648\u0646 \u0645\u0648\u0631\u062f \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0628\u0631\u0627\u06cc \u0627\u0631\u0632\u06cc\u0627\u0628\u06cc \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u0639\u0628\u0627\u0631\u062a\u0646\u062f \u0627\u0632 \u0645\u06cc\u0627\u0646\u06af\u06cc\u0646 \u062e\u0637\u0627\u06cc \u0645\u0637\u0644\u0642 (MAE)\u060c \u0645\u06cc\u0627\u0646\u06af\u06cc\u0646 \u0645\u0631\u0628\u0639 \u062e\u0637\u0627 (MSE) root \u0645\u06cc\u0627\u0646\u06af\u06cc\u0646 \u0645\u0631\u0628\u0639\u0627\u062a \u062e\u0637\u0627 (RMSE) \u0648 \u0636\u0631\u06cc\u0628 \u062a\u0639\u06cc\u06cc\u0646 (R<sup>2<\/sup>):<\/p>\n<ol>\n<li><strong>\u0645\u06cc\u0627\u0646\u06af\u06cc\u0646 \u062e\u0637\u0627\u06cc \u0645\u0637\u0644\u0642 (MAE)<\/strong>: \u0648\u0642\u062a\u06cc \u0645\u0642\u0627\u062f\u06cc\u0631 \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0634\u062f\u0647 \u0631\u0627 \u0627\u0632 \u0645\u0642\u0627\u062f\u06cc\u0631 \u0648\u0627\u0642\u0639\u06cc \u06a9\u0645 \u0645\u06cc \u06a9\u0646\u06cc\u0645\u060c \u062e\u0637\u0627\u0647\u0627 \u0631\u0627 \u0628\u062f\u0633\u062a \u0645\u06cc \u0622\u0648\u0631\u06cc\u0645\u060c \u0645\u0642\u0627\u062f\u06cc\u0631 \u0645\u0637\u0644\u0642 \u0622\u0646 \u062e\u0637\u0627\u0647\u0627 \u0631\u0627 \u062c\u0645\u0639 \u0645\u06cc \u06a9\u0646\u06cc\u0645 \u0648 \u0645\u06cc\u0627\u0646\u06af\u06cc\u0646 \u0622\u0646\u0647\u0627 \u0631\u0627 \u0628\u062f\u0633\u062a \u0645\u06cc \u0622\u0648\u0631\u06cc\u0645.  \u0627\u06cc\u0646 \u0645\u062a\u0631\u06cc\u06a9 \u062a\u0635\u0648\u0631\u06cc \u0627\u0632 \u062e\u0637\u0627\u06cc \u06a9\u0644\u06cc \u0628\u0631\u0627\u06cc \u0647\u0631 \u067e\u06cc\u0634\u200c\u0628\u06cc\u0646\u06cc \u0645\u062f\u0644 \u0627\u0631\u0627\u0626\u0647 \u0645\u06cc\u200c\u062f\u0647\u062f\u060c \u0647\u0631\u0686\u0647 \u06a9\u0648\u0686\u06a9\u062a\u0631 (\u0646\u0632\u062f\u06cc\u06a9 \u0628\u0647 0) \u0628\u0647\u062a\u0631 \u0628\u0627\u0634\u062f:<\/li>\n<\/ol>\n<p>$$<br \/>mae = (\\frac{1}{n})\\sum_{i=1}^{n}\\left |  \u0648\u0627\u0642\u0639\u06cc &#8211; \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0634\u062f\u0647 \\right |<br \/>$$<\/p>\n<div class=\"alert alert-note\">\n<div class=\"flex\">\n<div class=\"flex-shrink-0 mr-3\"><\/div>\n<div class=\"w-full\">\n<p><strong>\u062a\u0648\u062c\u0647 \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u06cc\u062f:<\/strong> \u0647\u0645\u0686\u0646\u06cc\u0646 \u0645\u0645\u06a9\u0646 \u0627\u0633\u062a \u0628\u0627 <code>y<\/code> \u0648 <code>\u0177<\/code> (\u0628\u0647 \u0639\u0646\u0648\u0627\u0646 y-hat \u0628\u062e\u0648\u0627\u0646\u06cc\u062f) \u0646\u0645\u0627\u062f \u062f\u0631 \u0645\u0639\u0627\u062f\u0644\u0627\u062a.  \u0627\u06cc\u0646 <code>y<\/code> \u0627\u0634\u0627\u0631\u0647 \u0628\u0647 \u0645\u0642\u0627\u062f\u06cc\u0631 \u0648\u0627\u0642\u0639\u06cc \u0648 <code>\u0177<\/code> \u0628\u0647 \u0645\u0642\u0627\u062f\u06cc\u0631 \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0634\u062f\u0647<\/p>\n<\/p><\/div><\/div><\/div>\n<ol start=\"2\">\n<li><strong>\u0645\u06cc\u0627\u0646\u06af\u06cc\u0646 \u0645\u0631\u0628\u0639\u0627\u062a \u062e\u0637\u0627 (MSE)<\/strong>: \u0634\u0628\u06cc\u0647 \u0628\u0647 \u0645\u062a\u0631\u06cc\u06a9 MAE \u0627\u0633\u062a\u060c \u0627\u0645\u0627 \u0645\u0642\u0627\u062f\u06cc\u0631 \u0645\u0637\u0644\u0642 \u062e\u0637\u0627\u0647\u0627 \u0631\u0627 \u0645\u0631\u0628\u0639 \u0645\u06cc \u06a9\u0646\u062f.  \u0647\u0645\u0686\u0646\u06cc\u0646\u060c \u0645\u0627\u0646\u0646\u062f MAE\u060c \u0647\u0631\u0686\u0647 \u06a9\u0648\u0686\u06a9\u062a\u0631 \u06cc\u0627 \u0646\u0632\u062f\u06cc\u06a9\u062a\u0631 \u0628\u0647 0 \u0628\u0627\u0634\u062f\u060c \u0628\u0647\u062a\u0631 \u0627\u0633\u062a.  \u0645\u0642\u062f\u0627\u0631 MSE \u0645\u0631\u0628\u0639 \u0627\u0633\u062a \u062a\u0627 \u062e\u0637\u0627\u0647\u0627\u06cc \u0628\u0632\u0631\u06af \u062d\u062a\u06cc \u0628\u0632\u0631\u06af\u062a\u0631 \u0634\u0648\u062f.  \u06cc\u06a9\u06cc \u0627\u0632 \u0645\u0648\u0627\u0631\u062f\u06cc \u06a9\u0647 \u0628\u0627\u06cc\u062f \u0628\u0647 \u0622\u0646 \u062f\u0642\u062a \u06a9\u0631\u062f \u0627\u06cc\u0646 \u0627\u0633\u062a \u06a9\u0647 \u0645\u0639\u0645\u0648\u0644\u0627\u064b \u0628\u0647 \u062f\u0644\u06cc\u0644 \u0627\u0646\u062f\u0627\u0632\u0647 \u0645\u0642\u0627\u062f\u06cc\u0631 \u0622\u0646 \u0648 \u0627\u06cc\u0646 \u0648\u0627\u0642\u0639\u06cc\u062a \u06a9\u0647 \u0622\u0646\u0647\u0627 \u0646\u06cc\u0633\u062a\u0646\u062f\u060c \u062a\u0641\u0633\u06cc\u0631 \u0622\u0646 \u0633\u062e\u062a \u0627\u0633\u062a. \u0631\u0648\u06cc \u0645\u0642\u06cc\u0627\u0633 \u0645\u0634\u0627\u0628\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627<\/li>\n<\/ol>\n<p>$$<br \/>mse = \\sum_{i=1}^{D}(\u0648\u0627\u0642\u0639\u06cc &#8211; \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0634\u062f\u0647)^2<br \/>$$<\/p>\n<ol start=\"3\">\n<li><strong>\u0631\u06cc\u0634\u0647 \u0645\u06cc\u0627\u0646\u06af\u06cc\u0646 \u0645\u0631\u0628\u0639\u0627\u062a \u062e\u0637\u0627 (RMSE)<\/strong>: \u0633\u0639\u06cc \u0645\u06cc \u06a9\u0646\u062f \u0628\u0627 \u0628\u062f\u0633\u062a \u0622\u0648\u0631\u062f\u0646 \u0645\u0631\u0628\u0639\u060c \u0645\u0634\u06a9\u0644 \u062a\u0641\u0633\u06cc\u0631 \u0645\u0637\u0631\u062d \u0634\u062f\u0647 \u062f\u0631 MSE \u0631\u0627 \u062d\u0644 \u06a9\u0646\u062f root \u0627\u0632 \u0645\u0642\u062f\u0627\u0631 \u0646\u0647\u0627\u06cc\u06cc \u0622\u0646\u060c \u0628\u0647 \u0637\u0648\u0631\u06cc \u06a9\u0647 \u0622\u0646 \u0631\u0627 \u0628\u0647 \u0647\u0645\u0627\u0646 \u0648\u0627\u062d\u062f\u0647\u0627\u06cc \u062f\u0627\u062f\u0647 \u06a9\u0627\u0647\u0634 \u062f\u0647\u06cc\u0645.  \u0648\u0642\u062a\u06cc \u0646\u06cc\u0627\u0632 \u0628\u0647 \u0646\u0645\u0627\u06cc\u0634 \u06cc\u0627 \u0646\u0634\u0627\u0646 \u062f\u0627\u062f\u0646 \u0627\u0631\u0632\u0634 \u0648\u0627\u0642\u0639\u06cc \u062f\u0627\u062f\u0647 \u0647\u0627 \u0628\u0627 \u062e\u0637\u0627 \u062f\u0627\u0631\u06cc\u0645\u060c \u062a\u0641\u0633\u06cc\u0631 \u0622\u0633\u0627\u0646 \u062a\u0631 \u0648 \u062e\u0648\u0628 \u0627\u0633\u062a.  \u0627\u06cc\u0646 \u0646\u0634\u0627\u0646 \u0645\u06cc\u200c\u062f\u0647\u062f \u06a9\u0647 \u062f\u0627\u062f\u0647\u200c\u0647\u0627 \u0686\u0642\u062f\u0631 \u0645\u0645\u06a9\u0646 \u0627\u0633\u062a \u0645\u062a\u0641\u0627\u0648\u062a \u0628\u0627\u0634\u0646\u062f\u060c \u0628\u0646\u0627\u0628\u0631\u0627\u06cc\u0646\u060c \u0627\u06af\u0631 RMSE 4.35 \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u06cc\u0645\u060c \u0645\u062f\u0644 \u0645\u0627 \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u062f \u062e\u0637\u0627 \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u062f \u06cc\u0627 \u0628\u0647 \u0627\u06cc\u0646 \u062f\u0644\u06cc\u0644 \u06a9\u0647 4.35 \u0631\u0627 \u0628\u0647 \u0645\u0642\u062f\u0627\u0631 \u0648\u0627\u0642\u0639\u06cc \u0627\u0636\u0627\u0641\u0647 \u06a9\u0631\u062f\u0647 \u0627\u0633\u062a \u06cc\u0627 \u0628\u0631\u0627\u06cc \u0631\u0633\u06cc\u062f\u0646 \u0628\u0647 \u0645\u0642\u062f\u0627\u0631 \u0648\u0627\u0642\u0639\u06cc \u0628\u0647 4.35 \u0646\u06cc\u0627\u0632 \u062f\u0627\u0631\u062f.  \u0647\u0631\u0686\u0647 \u0628\u0647 0 \u0646\u0632\u062f\u06cc\u06a9\u062a\u0631 \u0628\u0627\u0634\u062f\u060c \u0628\u0647\u062a\u0631 \u0627\u0633\u062a.<\/li>\n<\/ol>\n<p>$$<br \/>rmse = \\sqrt{ \\sum_{i=1}^{D}(\u0648\u0627\u0642\u0639\u06cc &#8211; \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0634\u062f\u0647)^2}<br \/>$$<\/p>\n<p>\u0627\u06cc\u0646 <code>mean_absolute_error()<\/code> \u0648 <code>mean_squared_error()<\/code> \u0631\u0648\u0634 \u0647\u0627\u06cc <code>sklearn.metrics<\/code> \u0647\u0645\u0627\u0646\u0637\u0648\u0631 \u06a9\u0647 \u062f\u0631 \u0642\u0637\u0639\u0647 \u0632\u06cc\u0631 \u0645\u0634\u0627\u0647\u062f\u0647 \u0645\u06cc \u0634\u0648\u062f \u0645\u06cc \u062a\u0648\u0627\u0646 \u0628\u0631\u0627\u06cc \u0645\u062d\u0627\u0633\u0628\u0647 \u0627\u06cc\u0646 \u0645\u0639\u06cc\u0627\u0631\u0647\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0631\u062f:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">from<\/span> sklearn.metrics <span class=\"hljs-keyword\">import<\/span> mean_absolute_error, mean_squared_error\n\nmae = mean_absolute_error(y_test, y_pred)\nmse = mean_squared_error(y_test, y_pred)\nrmse = mean_squared_error(y_test, y_pred, squared=<span class=\"hljs-literal\">False<\/span>)\n\n<span class=\"hljs-built_in\">print<\/span>(<span class=\"hljs-string\">f'mae: <span class=\"hljs-subst\">{mae}<\/span>'<\/span>)\n<span class=\"hljs-built_in\">print<\/span>(<span class=\"hljs-string\">f'mse: <span class=\"hljs-subst\">{mse}<\/span>'<\/span>)\n<span class=\"hljs-built_in\">print<\/span>(<span class=\"hljs-string\">f'rmse: <span class=\"hljs-subst\">{rmse}<\/span>'<\/span>)\n<\/code><\/pre>\n<p>\u062e\u0631\u0648\u062c\u06cc \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0628\u0627\u0644\u0627 \u0628\u0647 \u0634\u06a9\u0644 \u0632\u06cc\u0631 \u0627\u0633\u062a:<\/p>\n<pre><code class=\"hljs\">mae: 0.4460739527131783 \nmse: 0.4316907430948294 \nrmse: 0.6570317671884894\n<\/code><\/pre>\n<p>R<sup>2<\/sup> \u0631\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646 \u0628\u0647 \u0637\u0648\u0631 \u0645\u0633\u062a\u0642\u06cc\u0645 \u0628\u0627 <code>score()<\/code> \u0631\u0648\u0634:<\/p>\n<pre><code class=\"hljs\">regressor.score(X_test, y_test)\n<\/code><\/pre>\n<p>\u06a9\u062f\u0627\u0645 \u062e\u0631\u0648\u062c\u06cc \u0647\u0627:<\/p>\n<pre><code class=\"hljs\">0.6737569252627673\n<\/code><\/pre>\n<p>\u0646\u062a\u0627\u06cc\u062c \u0646\u0634\u0627\u0646 \u0645\u06cc\u200c\u062f\u0647\u062f \u06a9\u0647 \u062e\u0637\u0627\u06cc \u06a9\u0644\u06cc \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 KNN \u0645\u0627 \u0648 \u0645\u06cc\u0627\u0646\u06af\u06cc\u0646 \u062e\u0637\u0627 \u062a\u0642\u0631\u06cc\u0628\u0627\u064b \u0648\u062c\u0648\u062f \u062f\u0627\u0631\u062f <code>0.44<\/code>\u060c \u0648 <code>0.43<\/code>.  \u0647\u0645\u0686\u0646\u06cc\u0646\u060c RMSE \u0646\u0634\u0627\u0646 \u0645\u06cc\u200c\u062f\u0647\u062f \u06a9\u0647 \u0628\u0627 \u0627\u0636\u0627\u0641\u0647 \u06a9\u0631\u062f\u0646\u060c \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u06cc\u0645 \u0627\u0632 \u0645\u0642\u062f\u0627\u0631 \u0648\u0627\u0642\u0639\u06cc \u062f\u0627\u062f\u0647\u200c\u0647\u0627 \u0628\u0627\u0644\u0627\u062a\u0631 \u06cc\u0627 \u067e\u0627\u06cc\u06cc\u0646\u200c\u062a\u0631 \u0628\u0631\u0648\u06cc\u0645 <code>0.65<\/code> \u06cc\u0627 \u062a\u0641\u0631\u06cc\u0642 <code>0.65<\/code>.  \u0686\u0642\u062f\u0631 \u062e\u0648\u0628\u0647<\/p>\n<p>\u0628\u06cc\u0627\u06cc\u06cc\u062f \u0628\u0631\u0631\u0633\u06cc \u06a9\u0646\u06cc\u0645 \u06a9\u0647 \u0642\u06cc\u0645\u062a \u0647\u0627 \u0686\u06af\u0648\u0646\u0647 \u0627\u0633\u062a:<\/p>\n<pre><code class=\"hljs\">y.describe()\n<\/code><\/pre>\n<pre><code class=\"hljs\">count    20640.000000\nmean         2.068558\nstd          1.153956\nmin          0.149990\n25%          1.196000\n50%          1.797000\n75%          2.647250\nmax          5.000010\nName: MedHouseVal, dtype: float64\n<\/code><\/pre>\n<p>\u0645\u06cc\u0627\u0646\u06af\u06cc\u0646 \u0627\u06cc\u0646 \u0627\u0633\u062a <code>2.06<\/code> \u0648 \u0627\u0646\u062d\u0631\u0627\u0641 \u0645\u0639\u06cc\u0627\u0631 \u0627\u0632 \u0645\u06cc\u0627\u0646\u06af\u06cc\u0646 \u0627\u0633\u062a <code>1.15<\/code> \u0628\u0646\u0627\u0628\u0631\u0627\u06cc\u0646 \u0646\u0645\u0631\u0647 \u0645\u0627 \u0627\u0632 ~<code>0.44<\/code> \u0648\u0627\u0642\u0639\u0627\u064b \u0633\u062a\u0627\u0631\u0647 \u0627\u06cc \u0646\u06cc\u0633\u062a\u060c \u0627\u0645\u0627 \u062e\u06cc\u0644\u06cc \u0628\u062f \u0646\u06cc\u0633\u062a.<\/p>\n<p>\u0628\u0627 R<sup>2<\/sup>\u060c \u0647\u0631 \u0686\u0647 \u0628\u0647 1 \u0646\u0632\u062f\u06cc\u06a9\u062a\u0631 \u0628\u0627\u0634\u06cc\u0645 (\u06cc\u0627 100)\u060c \u0628\u0647\u062a\u0631 \u0627\u0633\u062a.  R<sup>2<\/sup> \u0645\u06cc\u0632\u0627\u0646 \u062a\u063a\u06cc\u06cc\u0631\u0627\u062a \u062f\u0627\u062f\u0647 \u0647\u0627 \u06cc\u0627 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0631\u0627 \u0646\u0634\u0627\u0646 \u0645\u06cc \u062f\u0647\u062f <em>\u0648\u0627\u0631\u06cc\u0627\u0646\u0633<\/em> \u062f\u0631\u06a9 \u0645\u06cc \u0634\u0648\u0646\u062f \u06cc\u0627 <em>\u062a\u0648\u0636\u06cc\u062d \u062f\u0627\u062f<\/em> \u062a\u0648\u0633\u0637 KNN.<\/p>\n<p>$$<br \/>R^2 = 1 &#8211; \\frac{\\sum(\u0648\u0627\u0642\u0639\u06cc &#8211; \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0634\u062f\u0647)^2}{\\sum(\u0648\u0627\u0642\u0639\u06cc &#8211; \u0648\u0627\u0642\u0639\u06cc \\ \u0645\u06cc\u0627\u0646\u06af\u06cc\u0646)^2}<br \/>$$<\/p>\n<p>\u0628\u0627 \u0627\u0631\u0632\u0634 <code>0.67<\/code>\u060c \u0645\u06cc \u0628\u06cc\u0646\u06cc\u0645 \u06a9\u0647 \u0645\u062f\u0644 \u0645\u0627 67 \u062f\u0631\u0635\u062f \u0627\u0632 \u0648\u0627\u0631\u06cc\u0627\u0646\u0633 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0631\u0627 \u062a\u0648\u0636\u06cc\u062d \u0645\u06cc \u062f\u0647\u062f.  \u062f\u0631 \u062d\u0627\u0644 \u062d\u0627\u0636\u0631 \u0628\u06cc\u0634 \u0627\u0632 50\u066a \u0627\u0633\u062a \u06a9\u0647 \u062e\u0648\u0628 \u0627\u0633\u062a\u060c \u0627\u0645\u0627 \u062e\u06cc\u0644\u06cc \u062e\u0648\u0628 \u0646\u06cc\u0633\u062a.  \u0622\u06cc\u0627 \u0631\u0627\u0647\u06cc \u0648\u062c\u0648\u062f \u062f\u0627\u0631\u062f \u06a9\u0647 \u0628\u062a\u0648\u0627\u0646\u06cc\u0645 \u0628\u0647\u062a\u0631 \u0639\u0645\u0644 \u06a9\u0646\u06cc\u0645\u061f<\/p>\n<p>\u0645\u0627 \u0627\u0632 \u06cc\u06a9 K \u0627\u0632 \u067e\u06cc\u0634 \u062a\u0639\u06cc\u06cc\u0646 \u0634\u062f\u0647 \u0628\u0627 \u0645\u0642\u062f\u0627\u0631 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0631\u062f\u0647 \u0627\u06cc\u0645 <code>5<\/code>\u0628\u0646\u0627\u0628\u0631\u0627\u06cc\u0646\u060c \u0645\u0627 \u0627\u0632 5 \u0647\u0645\u0633\u0627\u06cc\u0647 \u0628\u0631\u0627\u06cc \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0627\u0647\u062f\u0627\u0641 \u062e\u0648\u062f \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u06a9\u0646\u06cc\u0645 \u06a9\u0647 \u0644\u0632\u0648\u0645\u0627 \u0628\u0647\u062a\u0631\u06cc\u0646 \u0639\u062f\u062f \u0646\u06cc\u0633\u062a.  \u0628\u0631\u0627\u06cc \u0627\u06cc\u0646\u06a9\u0647 \u0628\u0641\u0647\u0645\u06cc\u0645 \u06a9\u062f\u0627\u0645 \u0639\u062f\u062f \u0627\u06cc\u062f\u0647\u200c\u0622\u0644 Ks \u0627\u0633\u062a\u060c \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u06cc\u0645 \u062e\u0637\u0627\u0647\u0627\u06cc \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u062e\u0648\u062f \u0631\u0627 \u062a\u062c\u0632\u06cc\u0647 \u0648 \u062a\u062d\u0644\u06cc\u0644 \u06a9\u0646\u06cc\u0645 \u0648 K \u0631\u0627 \u0627\u0646\u062a\u062e\u0627\u0628 \u06a9\u0646\u06cc\u0645 \u06a9\u0647 \u062a\u0644\u0641\u0627\u062a \u0631\u0627 \u0628\u0647 \u062d\u062f\u0627\u0642\u0644 \u0645\u06cc\u200c\u0631\u0633\u0627\u0646\u062f.<\/p>\n<h3 id=\"findingthebestkforknnregression\"><span class=\"ez-toc-section\" id=\"%db%8c%d8%a7%d9%81%d8%aa%d9%86_%d8%a8%d9%87%d8%aa%d8%b1%db%8c%d9%86_k_%d8%a8%d8%b1%d8%a7%db%8c_%d8%b1%da%af%d8%b1%d8%b3%db%8c%d9%88%d9%86_knn\"><\/span>\u06cc\u0627\u0641\u062a\u0646 \u0628\u0647\u062a\u0631\u06cc\u0646 K \u0628\u0631\u0627\u06cc \u0631\u06af\u0631\u0633\u06cc\u0648\u0646 KNN<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u062f\u0631 \u062d\u0627\u0644\u062a \u0627\u06cc\u062f\u0647\u200c\u0622\u0644\u060c \u0645\u06cc\u200c\u0628\u06cc\u0646\u06cc\u062f \u06a9\u0647 \u06a9\u062f\u0627\u0645 \u0645\u0639\u06cc\u0627\u0631 \u0628\u06cc\u0634\u062a\u0631 \u0628\u0627 \u0632\u0645\u06cc\u0646\u0647 \u0634\u0645\u0627 \u0645\u0637\u0627\u0628\u0642\u062a \u062f\u0627\u0631\u062f &#8211; \u0627\u0645\u0627 \u0645\u0639\u0645\u0648\u0644\u0627\u064b \u0622\u0632\u0645\u0627\u06cc\u0634 \u0647\u0645\u0647 \u0645\u0639\u06cc\u0627\u0631\u0647\u0627 \u062c\u0627\u0644\u0628 \u0627\u0633\u062a.  \u0647\u0631 \u0632\u0645\u0627\u0646 \u06a9\u0647 \u062a\u0648\u0627\u0646\u0633\u062a\u06cc\u062f \u0647\u0645\u0647 \u0622\u0646\u0647\u0627 \u0631\u0627 \u0622\u0632\u0645\u0627\u06cc\u0634 \u06a9\u0646\u06cc\u062f\u060c \u0627\u06cc\u0646 \u06a9\u0627\u0631 \u0631\u0627 \u0627\u0646\u062c\u0627\u0645 \u062f\u0647\u06cc\u062f.  \u062f\u0631 \u0627\u06cc\u0646\u062c\u0627\u060c \u0631\u0648\u0634 \u0627\u0646\u062a\u062e\u0627\u0628 \u0628\u0647\u062a\u0631\u06cc\u0646 K \u0631\u0627 \u062a\u0646\u0647\u0627 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0645\u06cc\u0627\u0646\u06af\u06cc\u0646 \u062e\u0637\u0627\u06cc \u0645\u0637\u0644\u0642 \u0646\u0634\u0627\u0646 \u062e\u0648\u0627\u0647\u06cc\u0645 \u062f\u0627\u062f\u060c \u0627\u0645\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0622\u0646 \u0631\u0627 \u0628\u0647 \u0647\u0631 \u0645\u062a\u0631\u06cc\u06a9 \u062f\u06cc\u06af\u0631\u06cc \u062a\u063a\u06cc\u06cc\u0631 \u062f\u0647\u06cc\u062f \u0648 \u0646\u062a\u0627\u06cc\u062c \u0631\u0627 \u0645\u0642\u0627\u06cc\u0633\u0647 \u06a9\u0646\u06cc\u062f.<\/p>\n<p>\u0628\u0631\u0627\u06cc \u0627\u06cc\u0646 \u06a9\u0627\u0631 \u06cc\u06a9 \u062d\u0644\u0642\u0647 for \u0627\u06cc\u062c\u0627\u062f \u0645\u06cc \u06a9\u0646\u06cc\u0645 \u0648 \u0645\u062f\u0644 \u0647\u0627\u06cc\u06cc \u0627\u062c\u0631\u0627 \u0645\u06cc \u06a9\u0646\u06cc\u0645 \u06a9\u0647 \u0627\u0632 1 \u062a\u0627 X \u0647\u0645\u0633\u0627\u06cc\u0647 \u062f\u0627\u0631\u0646\u062f.  \u062f\u0631 \u0647\u0631 \u0641\u0639\u0644 \u0648 \u0627\u0646\u0641\u0639\u0627\u0644\u060c MAE \u0631\u0627 \u0645\u062d\u0627\u0633\u0628\u0647 \u06a9\u0631\u062f\u0647 \u0648 \u062a\u0639\u062f\u0627\u062f Ks \u0631\u0627 \u0647\u0645\u0631\u0627\u0647 \u0628\u0627 \u0646\u062a\u06cc\u062c\u0647 MAE \u0631\u0633\u0645 \u0645\u06cc \u06a9\u0646\u06cc\u0645:<\/p>\n<pre><code class=\"hljs\">error = ()\n\n\n<span class=\"hljs-keyword\">for<\/span> i <span class=\"hljs-keyword\">in<\/span> <span class=\"hljs-built_in\">range<\/span>(<span class=\"hljs-number\">1<\/span>, <span class=\"hljs-number\">40<\/span>):\n    knn = KNeighborsRegressor(n_neighbors=i)\n    knn.fit(X_train, y_train)\n    pred_i = knn.predict(X_test)\n    mae = mean_absolute_error(y_test, pred_i)\n    error.append(mae)\n<\/code><\/pre>\n<p>\u062d\u0627\u0644\u0627 \u0628\u06cc\u0627\u06cc\u06cc\u062f \u0637\u0631\u062d \u0631\u0627 \u062a\u0631\u0633\u06cc\u0645 \u06a9\u0646\u06cc\u0645 <code>error<\/code>s:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">import<\/span> matplotlib.pyplot <span class=\"hljs-keyword\">as<\/span> plt \n\nplt.figure(figsize=(<span class=\"hljs-number\">12<\/span>, <span class=\"hljs-number\">6<\/span>))\nplt.plot(<span class=\"hljs-built_in\">range<\/span>(<span class=\"hljs-number\">1<\/span>, <span class=\"hljs-number\">40<\/span>), error, color=<span class=\"hljs-string\">'red'<\/span>, \n         linestyle=<span class=\"hljs-string\">'dashed'<\/span>, marker=<span class=\"hljs-string\">'o'<\/span>,\n         markerfacecolor=<span class=\"hljs-string\">'blue'<\/span>, markersize=<span class=\"hljs-number\">10<\/span>)\n         \nplt.title(<span class=\"hljs-string\">'K Value MAE'<\/span>)\nplt.xlabel(<span class=\"hljs-string\">'K Value'<\/span>)\nplt.ylabel(<span class=\"hljs-string\">'Mean Absolute Error'<\/span>)\n<\/code><\/pre>\n<p><img decoding=\"async\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/k-nearest-neighbors-algorithm-python-scikit-learn-5.png\" alt=\"\" title=\"\"><\/p>\n<p>\u0628\u0627 \u0646\u06af\u0627\u0647\u06cc \u0628\u0647 \u0646\u0645\u0648\u062f\u0627\u0631\u060c \u0628\u0647 \u0646\u0638\u0631 \u0645\u06cc \u0631\u0633\u062f \u06a9\u0645\u062a\u0631\u06cc\u0646 \u0645\u0642\u062f\u0627\u0631 MAE \u0632\u0645\u0627\u0646\u06cc \u0627\u0633\u062a \u06a9\u0647 K \u0628\u0627\u0634\u062f <code>12<\/code>.  \u0628\u06cc\u0627\u06cc\u06cc\u062f \u0646\u06af\u0627\u0647\u06cc \u062f\u0642\u06cc\u0642 \u062a\u0631 \u0628\u0647 \u0646\u0645\u0648\u062f\u0627\u0631 \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u06cc\u0645 \u062a\u0627 \u0628\u0627 \u062a\u0631\u0633\u06cc\u0645 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u06a9\u0645\u062a\u0631 \u0645\u0637\u0645\u0626\u0646 \u0634\u0648\u06cc\u0645:<\/p>\n<pre><code class=\"hljs\">plt.figure(figsize=(<span class=\"hljs-number\">12<\/span>, <span class=\"hljs-number\">6<\/span>))\nplt.plot(<span class=\"hljs-built_in\">range<\/span>(<span class=\"hljs-number\">1<\/span>, <span class=\"hljs-number\">15<\/span>), error(:<span class=\"hljs-number\">14<\/span>), color=<span class=\"hljs-string\">'red'<\/span>, \n         linestyle=<span class=\"hljs-string\">'dashed'<\/span>, marker=<span class=\"hljs-string\">'o'<\/span>,\n         markerfacecolor=<span class=\"hljs-string\">'blue'<\/span>, markersize=<span class=\"hljs-number\">10<\/span>)\nplt.title(<span class=\"hljs-string\">'K Value MAE'<\/span>)\nplt.xlabel(<span class=\"hljs-string\">'K Value'<\/span>)\nplt.ylabel(<span class=\"hljs-string\">'Mean Absolute Error'<\/span>)\n<\/code><\/pre>\n<p><img decoding=\"async\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/k-nearest-neighbors-algorithm-python-scikit-learn-6.png\" alt=\"\" title=\"\"><\/p>\n<p>\u0647\u0645\u0686\u0646\u06cc\u0646 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u06a9\u0645\u062a\u0631\u06cc\u0646 \u062e\u0637\u0627 \u0648 \u0634\u0627\u062e\u0635 \u0622\u0646 \u0646\u0642\u0637\u0647 \u0631\u0627 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u062a\u0648\u06a9\u0627\u0631 \u0628\u0647 \u062f\u0633\u062a \u0622\u0648\u0631\u06cc\u062f <code>min()<\/code> \u0639\u0645\u0644\u06a9\u0631\u062f (\u06a9\u0627\u0631 \u0645\u06cc \u06a9\u0646\u062f \u0631\u0648\u06cc lists) \u06cc\u0627 \u0644\u06cc\u0633\u062a \u0631\u0627 \u0628\u0647 \u06cc\u06a9 \u0622\u0631\u0627\u06cc\u0647 NumPy \u062a\u0628\u062f\u06cc\u0644 \u06a9\u0646\u06cc\u062f \u0648 \u0622\u0646 \u0631\u0627 \u062f\u0631\u06cc\u0627\u0641\u062a \u06a9\u0646\u06cc\u062f <code>argmin()<\/code> (\u0634\u0627\u062e\u0635 \u0639\u0646\u0635\u0631 \u0628\u0627 \u06a9\u0645\u062a\u0631\u06cc\u0646 \u0645\u0642\u062f\u0627\u0631):<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">import<\/span> numpy <span class=\"hljs-keyword\">as<\/span> np \n\n<span class=\"hljs-built_in\">print<\/span>(<span class=\"hljs-built_in\">min<\/span>(error))               \n<span class=\"hljs-built_in\">print<\/span>(np.array(error).argmin()) \n<\/code><\/pre>\n<p>\u0634\u0631\u0648\u0639 \u06a9\u0631\u062f\u06cc\u0645 \u0628\u0647 \u0634\u0645\u0631\u062f\u0646 \u0647\u0645\u0633\u0627\u06cc\u0647 \u0647\u0627 \u0631\u0648\u06cc 1\u060c \u062f\u0631 \u062d\u0627\u0644\u06cc \u06a9\u0647 \u0622\u0631\u0627\u06cc\u0647 \u0647\u0627 \u0628\u0631 \u0627\u0633\u0627\u0633 0 \u0647\u0633\u062a\u0646\u062f\u060c \u0628\u0646\u0627\u0628\u0631\u0627\u06cc\u0646 \u0634\u0627\u062e\u0635 \u06cc\u0627\u0632\u062f\u0647\u0645 12 \u0647\u0645\u0633\u0627\u06cc\u0647 \u0627\u0633\u062a!<\/p>\n<p>\u0627\u06cc\u0646 \u0628\u062f\u0627\u0646 \u0645\u0639\u0646\u0627\u0633\u062a \u06a9\u0647 \u0645\u0627 \u0628\u0647 12 \u0647\u0645\u0633\u0627\u06cc\u0647 \u0646\u06cc\u0627\u0632 \u062f\u0627\u0631\u06cc\u0645 \u062a\u0627 \u0628\u062a\u0648\u0627\u0646\u06cc\u0645 \u0646\u0642\u0637\u0647 \u0627\u06cc \u0628\u0627 \u06a9\u0645\u062a\u0631\u06cc\u0646 \u062e\u0637\u0627\u06cc MAE \u0631\u0627 \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u06a9\u0646\u06cc\u0645.  \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u06cc\u0645 \u0645\u062f\u0644 \u0648 \u0645\u0639\u06cc\u0627\u0631\u0647\u0627 \u0631\u0627 \u062f\u0648\u0628\u0627\u0631\u0647 \u0628\u0627 12 \u0647\u0645\u0633\u0627\u06cc\u0647 \u0628\u0631\u0627\u06cc \u0645\u0642\u0627\u06cc\u0633\u0647 \u0646\u062a\u0627\u06cc\u062c \u0627\u062c\u0631\u0627 \u06a9\u0646\u06cc\u0645:<\/p>\n<pre><code class=\"hljs\">knn_reg12 = KNeighborsRegressor(n_neighbors=<span class=\"hljs-number\">12<\/span>)\nknn_reg12.fit(X_train, y_train)\ny_pred12 = knn_reg12.predict(X_test)\nr2 = knn_reg12.score(X_test, y_test) \n\nmae12 = mean_absolute_error(y_test, y_pred12)\nmse12 = mean_squared_error(y_test, y_pred12)\nrmse12 = mean_squared_error(y_test, y_pred12, squared=<span class=\"hljs-literal\">False<\/span>)\n<span class=\"hljs-built_in\">print<\/span>(<span class=\"hljs-string\">f'r2: <span class=\"hljs-subst\">{r2}<\/span>, \\nmae: <span class=\"hljs-subst\">{mae12}<\/span> \\nmse: <span class=\"hljs-subst\">{mse12}<\/span> \\nrmse: <span class=\"hljs-subst\">{rmse12}<\/span>'<\/span>)\n<\/code><\/pre>\n<p>\u062e\u0631\u0648\u062c\u06cc \u06a9\u062f \u0632\u06cc\u0631 \u0627\u0633\u062a:<\/p>\n<pre><code class=\"hljs\">r2: 0.6887495617137436, \nmae: 0.43631325936692505 \nmse: 0.4118522151025172 \nrmse: 0.6417571309323467\n<\/code><\/pre>\n<p>\u0628\u0627 12 \u0647\u0645\u0633\u0627\u06cc\u0647\u060c \u0645\u062f\u0644 KNN \u0645\u0627 \u0627\u06a9\u0646\u0648\u0646 69 \u062f\u0631\u0635\u062f \u0627\u0632 \u0648\u0627\u0631\u06cc\u0627\u0646\u0633 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0631\u0627 \u062a\u0648\u0636\u06cc\u062d \u0645\u06cc \u062f\u0647\u062f \u0648 \u06a9\u0645\u06cc \u06a9\u0645\u062a\u0631 \u0627\u0632 \u062f\u0633\u062a \u062f\u0627\u062f\u0647 \u0627\u0633\u062a.<code> 0.44<\/code> \u0628\u0647 <code>0.43<\/code>\u060c <code>0.43<\/code> \u0628\u0647 <code>0.41<\/code>\u060c \u0648 <code>0.65<\/code> \u0628\u0647 <code>0.64<\/code> \u0628\u0627 \u0645\u0639\u06cc\u0627\u0631\u0647\u0627\u06cc \u0645\u0631\u0628\u0648\u0637\u0647  \u0627\u06cc\u0646 \u06cc\u06a9 \u067e\u06cc\u0634\u0631\u0641\u062a \u0628\u0632\u0631\u06af \u0646\u06cc\u0633\u062a\u060c \u0627\u0645\u0627 \u0628\u0627 \u0627\u06cc\u0646 \u0648\u062c\u0648\u062f \u06cc\u06a9 \u067e\u06cc\u0634\u0631\u0641\u062a \u0627\u0633\u062a.<\/p>\n<div class=\"alert alert-note\">\n<div class=\"flex\">\n<div class=\"flex-shrink-0 mr-3\"><\/div>\n<div class=\"w-full\">\n<p><strong>\u062a\u0648\u062c\u0647 \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u06cc\u062f:<\/strong> \u062f\u0631 \u0627\u062f\u0627\u0645\u0647 \u0627\u06cc\u0646 \u062a\u062d\u0644\u06cc\u0644\u060c \u0627\u0646\u062c\u0627\u0645 \u06cc\u06a9 \u062a\u062c\u0632\u06cc\u0647 \u0648 \u062a\u062d\u0644\u06cc\u0644 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0627\u06a9\u062a\u0634\u0627\u0641\u06cc (EDA) \u0647\u0645\u0631\u0627\u0647 \u0628\u0627 \u062a\u062c\u0632\u06cc\u0647 \u0648 \u062a\u062d\u0644\u06cc\u0644 \u0628\u0627\u0642\u06cc\u0645\u0627\u0646\u062f\u0647 \u0645\u0645\u06a9\u0646 \u0627\u0633\u062a \u0628\u0647 \u0627\u0646\u062a\u062e\u0627\u0628 \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627 \u0648 \u062f\u0633\u062a\u06cc\u0627\u0628\u06cc \u0628\u0647 \u0646\u062a\u0627\u06cc\u062c \u0628\u0647\u062a\u0631 \u06a9\u0645\u06a9 \u06a9\u0646\u062f.<\/p>\n<\/p><\/div><\/div><\/div>\n<p>\u0642\u0628\u0644\u0627\u064b \u0631\u0648\u0634 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 KNN \u0628\u0631\u0627\u06cc \u0631\u06af\u0631\u0633\u06cc\u0648\u0646 \u0631\u0627 \u062f\u06cc\u062f\u0647\u200c\u0627\u06cc\u0645 &#8211; \u0627\u0645\u0627 \u0627\u06af\u0631 \u0628\u062e\u0648\u0627\u0647\u06cc\u0645 \u06cc\u06a9 \u0646\u0642\u0637\u0647 \u0631\u0627 \u0628\u0647 \u062c\u0627\u06cc \u067e\u06cc\u0634\u200c\u0628\u06cc\u0646\u06cc \u0627\u0631\u0632\u0634 \u0622\u0646 \u0637\u0628\u0642\u0647\u200c\u0628\u0646\u062f\u06cc \u06a9\u0646\u06cc\u0645\u060c \u0686\u0647 \u0645\u06cc\u200c\u0634\u0648\u062f\u061f  \u0627\u06a9\u0646\u0648\u0646 \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u06cc\u0645 \u0631\u0648\u0634 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 KNN \u0628\u0631\u0627\u06cc \u0637\u0628\u0642\u0647\u200c\u0628\u0646\u062f\u06cc \u0631\u0627 \u0628\u0631\u0631\u0633\u06cc \u06a9\u0646\u06cc\u0645.<\/p>\n<h2 id=\"classificationusingknearestneighborswithscikitlearn\"><span class=\"ez-toc-section\" id=\"%d8%b7%d8%a8%d9%82%d9%87_%d8%a8%d9%86%d8%af%db%8c_%d8%a8%d8%a7_%d8%a7%d8%b3%d8%aa%d9%81%d8%a7%d8%af%d9%87_%d8%a7%d8%b2_k-nearest_neighbors_%d8%a8%d8%a7_scikit-learn\"><\/span>\u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 K-Nearest Neighbors \u0628\u0627 Scikit-Learn<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u062f\u0631 \u0627\u06cc\u0646 \u06a9\u0627\u0631\u060c \u0628\u0647 \u062c\u0627\u06cc \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u06cc\u06a9 \u0645\u0642\u062f\u0627\u0631 \u067e\u06cc\u0648\u0633\u062a\u0647\u060c \u0645\u06cc \u062e\u0648\u0627\u0647\u06cc\u0645 \u06a9\u0644\u0627\u0633\u06cc \u0631\u0627 \u06a9\u0647 \u0627\u06cc\u0646 \u06af\u0631\u0648\u0647 \u0647\u0627\u06cc \u0628\u0644\u0648\u06a9 \u0628\u0647 \u0622\u0646 \u062a\u0639\u0644\u0642 \u062f\u0627\u0631\u0646\u062f\u060c \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u06a9\u0646\u06cc\u0645.  \u0628\u0631\u0627\u06cc \u0627\u0646\u062c\u0627\u0645 \u0627\u06cc\u0646 \u06a9\u0627\u0631\u060c \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u06cc\u0645 \u0645\u06cc\u0627\u0646\u06af\u06cc\u0646 \u0627\u0631\u0632\u0634 \u062e\u0627\u0646\u0647 \u0628\u0631\u0627\u06cc \u0645\u0646\u0627\u0637\u0642 \u0631\u0627 \u0628\u0647 \u06af\u0631\u0648\u0647\u200c\u0647\u0627\u06cc\u06cc \u0628\u0627 \u0645\u062d\u062f\u0648\u062f\u0647\u200c\u0647\u0627\u06cc \u0645\u062a\u0641\u0627\u0648\u062a \u0627\u0631\u0632\u0634 \u062e\u0627\u0646\u0647 \u062a\u0642\u0633\u06cc\u0645 \u06a9\u0646\u06cc\u0645 <em>\u0633\u0637\u0644 \u0632\u0628\u0627\u0644\u0647<\/em>.<\/p>\n<blockquote>\n<p>\u0647\u0646\u06af\u0627\u0645\u06cc \u06a9\u0647 \u0645\u06cc \u062e\u0648\u0627\u0647\u06cc\u062f \u0627\u0632 \u06cc\u06a9 \u0645\u0642\u062f\u0627\u0631 \u067e\u06cc\u0648\u0633\u062a\u0647 \u0628\u0631\u0627\u06cc \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u062f\u060c \u0645\u0639\u0645\u0648\u0644\u0627\u064b \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u062f\u0627\u062f\u0647 \u0647\u0627 \u0631\u0627 \u0628\u0646 \u06a9\u0646\u06cc\u062f.  \u0628\u0647 \u0627\u06cc\u0646 \u062a\u0631\u062a\u06cc\u0628 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0628\u0647 \u062c\u0627\u06cc \u0645\u0642\u0627\u062f\u06cc\u0631\u060c \u06af\u0631\u0648\u0647 \u0647\u0627 \u0631\u0627 \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u06a9\u0646\u06cc\u062f.<\/p>\n<\/blockquote>\n<h3 id=\"preprocessingdataforclassification\"><span class=\"ez-toc-section\" id=\"%d9%be%db%8c%d8%b4_%d9%be%d8%b1%d8%af%d8%a7%d8%b2%d8%b4_%d8%af%d8%a7%d8%af%d9%87_%d9%87%d8%a7_%d8%a8%d8%b1%d8%a7%db%8c_%d8%b7%d8%a8%d9%82%d9%87_%d8%a8%d9%86%d8%af%db%8c\"><\/span>\u067e\u06cc\u0634 \u067e\u0631\u062f\u0627\u0632\u0634 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0628\u0631\u0627\u06cc \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u0628\u06cc\u0627\u06cc\u06cc\u062f \u0633\u0637\u0644 \u0647\u0627\u06cc \u062f\u0627\u062f\u0647 \u0631\u0627 \u0627\u06cc\u062c\u0627\u062f \u06a9\u0646\u06cc\u0645 \u062a\u0627 \u0645\u0642\u0627\u062f\u06cc\u0631 \u067e\u06cc\u0648\u0633\u062a\u0647 \u062e\u0648\u062f \u0631\u0627 \u0628\u0647 \u062f\u0633\u062a\u0647 \u0647\u0627 \u062a\u0628\u062f\u06cc\u0644 \u06a9\u0646\u06cc\u0645:<\/p>\n<pre><code class=\"hljs\">\ndf(<span class=\"hljs-string\">\"MedHouseValCat\"<\/span>) = pd.qcut(df(<span class=\"hljs-string\">\"MedHouseVal\"<\/span>), <span class=\"hljs-number\">4<\/span>, retbins=<span class=\"hljs-literal\">False<\/span>, labels=(<span class=\"hljs-number\">1<\/span>, <span class=\"hljs-number\">2<\/span>, <span class=\"hljs-number\">3<\/span>, <span class=\"hljs-number\">4<\/span>))\n<\/code><\/pre>\n<p>\u0633\u067e\u0633\u060c \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u062e\u0648\u062f \u0631\u0627 \u0628\u0647 \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627 \u0648 \u0628\u0631\u0686\u0633\u0628 \u0647\u0627\u06cc \u0622\u0646 \u062a\u0642\u0633\u06cc\u0645 \u06a9\u0646\u06cc\u0645:<\/p>\n<pre><code class=\"hljs\">y = df(<span class=\"hljs-string\">'MedHouseValCat'<\/span>)\nX = df.drop((<span class=\"hljs-string\">'MedHouseVal'<\/span>, <span class=\"hljs-string\">'MedHouseValCat'<\/span>), axis = <span class=\"hljs-number\">1<\/span>)\n<\/code><\/pre>\n<p>\u0627\u0632 \u0622\u0646\u062c\u0627\u06cc\u06cc \u06a9\u0647 \u0645\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0631\u062f\u0647 \u0627\u06cc\u0645 <code>MedHouseVal<\/code> \u0633\u062a\u0648\u0646 \u0628\u0631\u0627\u06cc \u0627\u06cc\u062c\u0627\u062f \u0633\u0637\u0644\u060c \u0645\u0627 \u0646\u06cc\u0627\u0632 \u0628\u0647 \u0631\u0647\u0627 \u06a9\u0631\u062f\u0646 <code>MedHouseVal<\/code> \u0633\u062a\u0648\u0646 \u0648 <code>MedHouseValCat<\/code> \u0633\u062a\u0648\u0646 \u0627\u0632 <code>X<\/code>.  \u0628\u0647 \u0627\u06cc\u0646 \u062a\u0631\u062a\u06cc\u0628\u060c <code>DataFrame<\/code> \u0634\u0627\u0645\u0644 8 \u0633\u062a\u0648\u0646 \u0627\u0648\u0644 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 (\u06cc\u0639\u0646\u06cc \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u060c \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627) \u062e\u0648\u0627\u0647\u062f \u0628\u0648\u062f \u062f\u0631 \u062d\u0627\u0644\u06cc \u06a9\u0647 \u0645\u0627 <code>y<\/code> \u0641\u0642\u0637 \u0634\u0627\u0645\u0644 <code>MedHouseValCat<\/code> \u0628\u0631\u0686\u0633\u0628 \u0627\u062e\u062a\u0635\u0627\u0635 \u062f\u0627\u062f\u0647 \u0634\u062f\u0647<\/p>\n<div class=\"alert alert-note\">\n<div class=\"flex\">\n<div class=\"flex-shrink-0 mr-3\"><\/div>\n<div class=\"w-full\">\n<p><strong>\u062a\u0648\u062c\u0647 \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u06cc\u062f:<\/strong> \u0647\u0645\u0686\u0646\u06cc\u0646 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0633\u062a\u0648\u0646 \u0647\u0627 \u0631\u0627 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 <code>.iloc()<\/code> \u0628\u0647 \u062c\u0627\u06cc \u0627\u0646\u062f\u0627\u062e\u062a\u0646 \u0622\u0646\u0647\u0627  \u0647\u0646\u06af\u0627\u0645 \u0631\u0647\u0627 \u06a9\u0631\u062f\u0646\u060c \u0641\u0642\u0637 \u062a\u0648\u062c\u0647 \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u06cc\u062f \u06a9\u0647 \u0628\u0627\u06cc\u062f \u0627\u062e\u062a\u0635\u0627\u0635 \u062f\u0647\u06cc\u062f <code>y<\/code> \u0645\u0642\u0627\u062f\u06cc\u0631 \u0642\u0628\u0644 \u0627\u0632 \u062a\u062e\u0635\u06cc\u0635 <code>X<\/code> \u0645\u0642\u0627\u062f\u06cc\u0631\u060c \u0632\u06cc\u0631\u0627 \u0634\u0645\u0627 \u0646\u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u06cc\u06a9 \u0633\u062a\u0648\u0646 \u062d\u0630\u0641 \u0634\u062f\u0647 \u0627\u0632 a \u0631\u0627 \u0627\u062e\u062a\u0635\u0627\u0635 \u062f\u0647\u06cc\u062f <code>DataFrame<\/code> \u0628\u0647 \u06cc\u06a9 \u0634\u06cc \u062f\u06cc\u06af\u0631 \u062f\u0631 \u062d\u0627\u0641\u0638\u0647<\/p>\n<\/p><\/div><\/div><\/div>\n<h3 id=\"splittingdataintotrainandtestsets\"><span class=\"ez-toc-section\" id=\"%d8%aa%d9%82%d8%b3%db%8c%d9%85_%d8%af%d8%a7%d8%af%d9%87_%d9%87%d8%a7_%d8%a8%d9%87_%d9%85%d8%ac%d9%85%d9%88%d8%b9%d9%87_%d9%87%d8%a7%db%8c_%d9%82%d8%b7%d8%a7%d8%b1_%d9%88_%d8%aa%d8%b3%d8%aa-2\"><\/span>\u062a\u0642\u0633\u06cc\u0645 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0628\u0647 \u0645\u062c\u0645\u0648\u0639\u0647 \u0647\u0627\u06cc \u0642\u0637\u0627\u0631 \u0648 \u062a\u0633\u062a<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u0647\u0645\u0627\u0646\u0637\u0648\u0631 \u06a9\u0647 \u0628\u0627 \u0631\u06af\u0631\u0633\u06cc\u0648\u0646 \u0627\u0646\u062c\u0627\u0645 \u0634\u062f\u060c \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0631\u0627 \u0646\u06cc\u0632 \u0628\u0647 \u062f\u0648 \u0628\u062e\u0634 \u0622\u0645\u0648\u0632\u0634\u06cc \u0648 \u0622\u0632\u0645\u0627\u06cc\u0634\u06cc \u062a\u0642\u0633\u06cc\u0645 \u062e\u0648\u0627\u0647\u06cc\u0645 \u06a9\u0631\u062f.  \u0627\u0632 \u0622\u0646\u062c\u0627\u06cc\u06cc \u06a9\u0647 \u0645\u0627 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0645\u062a\u0641\u0627\u0648\u062a\u06cc \u062f\u0627\u0631\u06cc\u0645\u060c \u0628\u0627\u06cc\u062f \u0627\u06cc\u0646 \u06a9\u0627\u0631 \u0631\u0627 \u062a\u06a9\u0631\u0627\u0631 \u06a9\u0646\u06cc\u0645 process:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">from<\/span> sklearn.model_selection <span class=\"hljs-keyword\">import<\/span> train_test_split\n\nSEED = <span class=\"hljs-number\">42<\/span>\nX_train, X_test, y_train, y_test = train_test_split(X, y, test_size=<span class=\"hljs-number\">0.25<\/span>, random_state=SEED)\n<\/code><\/pre>\n<p>\u0645\u0627 \u0627\u0632 \u0645\u0642\u062f\u0627\u0631 \u0627\u0633\u062a\u0627\u0646\u062f\u0627\u0631\u062f Scikit-Learn 75% \u062f\u0627\u062f\u0647 \u0642\u0637\u0627\u0631 \u0648 25% \u062f\u0627\u062f\u0647 \u062a\u0633\u062a \u062f\u0648\u0628\u0627\u0631\u0647 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u062e\u0648\u0627\u0647\u06cc\u0645 \u06a9\u0631\u062f.  \u0627\u06cc\u0646 \u0628\u062f\u0627\u0646 \u0645\u0639\u0646\u0627\u0633\u062a \u06a9\u0647 \u0645\u0627 \u0647\u0645\u0627\u0646 \u0631\u06a9\u0648\u0631\u062f\u0647\u0627\u06cc \u0642\u0637\u0627\u0631 \u0648 \u0622\u0632\u0645\u0627\u06cc\u0634 \u0631\u0627 \u062e\u0648\u0627\u0647\u06cc\u0645 \u062f\u0627\u0634\u062a \u06a9\u0647 \u062f\u0631 \u0631\u06af\u0631\u0633\u06cc\u0648\u0646 \u0642\u0628\u0644\u06cc \u0648\u062c\u0648\u062f \u062f\u0627\u0634\u062a.<\/p>\n<h3 id=\"featurescalingforclassification\"><span class=\"ez-toc-section\" id=\"%d9%85%d9%82%db%8c%d8%a7%d8%b3_%d8%a8%d9%86%d8%af%db%8c_%d9%88%db%8c%da%98%da%af%db%8c_%d8%a8%d8%b1%d8%a7%db%8c_%d8%b7%d8%a8%d9%82%d9%87_%d8%a8%d9%86%d8%af%db%8c\"><\/span>\u0645\u0642\u06cc\u0627\u0633 \u0628\u0646\u062f\u06cc \u0648\u06cc\u0698\u06af\u06cc \u0628\u0631\u0627\u06cc \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u0627\u0632 \u0622\u0646\u062c\u0627\u06cc\u06cc \u06a9\u0647 \u0645\u0627 \u0628\u0627 \u0647\u0645\u0627\u0646 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u067e\u0631\u062f\u0627\u0632\u0634 \u0646\u0634\u062f\u0647 \u0648 \u0648\u0627\u062d\u062f\u0647\u0627\u06cc \u0627\u0646\u062f\u0627\u0632\u0647 \u06af\u06cc\u0631\u06cc \u0645\u062a\u0641\u0627\u0648\u062a \u0622\u0646 \u0633\u0631 \u0648 \u06a9\u0627\u0631 \u062f\u0627\u0631\u06cc\u0645\u060c \u0645\u062c\u062f\u062f\u0627\u064b \u0645\u0642\u06cc\u0627\u0633 \u0628\u0646\u062f\u06cc \u0648\u06cc\u0698\u06af\u06cc \u0631\u0627 \u0628\u0647 \u0647\u0645\u0627\u0646 \u0631\u0648\u0634\u06cc \u06a9\u0647 \u0628\u0631\u0627\u06cc \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0631\u06af\u0631\u0633\u06cc\u0648\u0646\u06cc \u062e\u0648\u062f \u0627\u0646\u062c\u0627\u0645 \u062f\u0627\u062f\u06cc\u0645 \u0627\u0646\u062c\u0627\u0645 \u062e\u0648\u0627\u0647\u06cc\u0645 \u062f\u0627\u062f:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">from<\/span> sklearn.preprocessing <span class=\"hljs-keyword\">import<\/span> StandardScaler\n\nscaler = StandardScaler()\nscaler.fit(X_train)\n\nX_train = scaler.transform(X_train)\nX_test = scaler.transform(X_test)\n<\/code><\/pre>\n<h3 id=\"trainingandpredictingforclassification\"><span class=\"ez-toc-section\" id=\"%d8%a2%d9%85%d9%88%d8%b2%d8%b4_%d9%88_%d9%be%db%8c%d8%b4_%d8%a8%db%8c%d9%86%db%8c_%d8%a8%d8%b1%d8%a7%db%8c_%d8%b7%d8%a8%d9%82%d9%87_%d8%a8%d9%86%d8%af%db%8c\"><\/span>\u0622\u0645\u0648\u0632\u0634 \u0648 \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0628\u0631\u0627\u06cc \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u067e\u0633 \u0627\u0632 \u0628\u0627\u06cc\u0646\u06cc\u0646\u06af\u060c \u062a\u0642\u0633\u06cc\u0645 \u0648 \u0645\u0642\u06cc\u0627\u0633 \u0628\u0646\u062f\u06cc \u062f\u0627\u062f\u0647 \u0647\u0627\u060c \u062f\u0631 \u0646\u0647\u0627\u06cc\u062a \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u06cc\u06a9 \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u06a9\u0646\u0646\u062f\u0647 \u0642\u0631\u0627\u0631 \u062f\u0647\u06cc\u0645 \u0631\u0648\u06cc \u0622\u06cc \u062a\u06cc.  \u0628\u0631\u0627\u06cc \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc\u060c \u062f\u0648\u0628\u0627\u0631\u0647 \u0627\u0632 5 \u0647\u0645\u0633\u0627\u06cc\u0647 \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u062e\u0637 \u0645\u0628\u0646\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u06a9\u0646\u06cc\u0645.  \u0634\u0645\u0627 \u0647\u0645\u0686\u0646\u06cc\u0646 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0646\u0645\u0648\u0646\u0647 \u0633\u0627\u0632\u06cc \u06a9\u0646\u06cc\u062f <code>KNeighbors_<\/code> \u06a9\u0644\u0627\u0633 \u0628\u062f\u0648\u0646 \u0647\u06cc\u0686 \u0622\u0631\u06af\u0648\u0645\u0627\u0646 \u0648 \u0628\u0647 \u0637\u0648\u0631 \u062e\u0648\u062f\u06a9\u0627\u0631 \u0627\u0632 5 \u0647\u0645\u0633\u0627\u06cc\u0647 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u06a9\u0646\u062f.  \u062f\u0631 \u0627\u06cc\u0646\u062c\u0627\u060c \u0628\u0647 \u062c\u0627\u06cc \u0648\u0627\u0631\u062f\u0627\u062a <code>KNeighborsRegressor<\/code>\u060c \u0645\u0627 \u062e\u0648\u0627\u0647\u06cc\u0645 \u06a9\u0631\u062f import \u0631\u0627 <code>KNeighborsClassifier<\/code>\u060c \u06a9\u0644\u0627\u0633:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">from<\/span> sklearn.neighbors <span class=\"hljs-keyword\">import<\/span> KNeighborsClassifier\n\nclassifier = KNeighborsClassifier()\nclassifier.fit(X_train, y_train)\n<\/code><\/pre>\n<p>\u067e\u0633 \u0627\u0632 \u0646\u0635\u0628 <code>KNeighborsClassifier<\/code>\u060c \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u06a9\u0644\u0627\u0633 \u0647\u0627\u06cc \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u062a\u0633\u062a \u0631\u0627 \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u06a9\u0646\u06cc\u0645:<\/p>\n<pre><code class=\"hljs\">y_pred = classifier.predict(X_test)\n<\/code><\/pre>\n<p>\u0632\u0645\u0627\u0646 \u0627\u0631\u0632\u06cc\u0627\u0628\u06cc \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0647\u0627 \u0627\u0633\u062a!  \u0622\u06cc\u0627 \u067e\u06cc\u0634\u200c\u0628\u06cc\u0646\u06cc \u06a9\u0644\u0627\u0633\u200c\u0647\u0627 \u0631\u0648\u06cc\u06a9\u0631\u062f \u0628\u0647\u062a\u0631\u06cc \u0646\u0633\u0628\u062a \u0628\u0647 \u067e\u06cc\u0634\u200c\u0628\u06cc\u0646\u06cc \u0645\u0642\u0627\u062f\u06cc\u0631 \u062f\u0631 \u0627\u06cc\u0646 \u0645\u0648\u0631\u062f \u062e\u0648\u0627\u0647\u062f \u0628\u0648\u062f\u061f  \u0628\u06cc\u0627\u06cc\u06cc\u062f \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u0631\u0627 \u0627\u0631\u0632\u06cc\u0627\u0628\u06cc \u06a9\u0646\u06cc\u0645 \u062a\u0627 \u0628\u0628\u06cc\u0646\u06cc\u0645 \u0686\u0647 \u0627\u062a\u0641\u0627\u0642\u06cc \u0645\u06cc \u0627\u0641\u062a\u062f.<\/p>\n<h3 id=\"evaluatingknnforclassification\"><span class=\"ez-toc-section\" id=\"%d8%a7%d8%b1%d8%b2%db%8c%d8%a7%d8%a8%db%8c_knn_%d8%a8%d8%b1%d8%a7%db%8c_%d8%b7%d8%a8%d9%82%d9%87_%d8%a8%d9%86%d8%af%db%8c\"><\/span>\u0627\u0631\u0632\u06cc\u0627\u0628\u06cc KNN \u0628\u0631\u0627\u06cc \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u0628\u0631\u0627\u06cc \u0627\u0631\u0632\u06cc\u0627\u0628\u06cc \u0637\u0628\u0642\u0647\u200c\u0628\u0646\u062f\u06cc \u06a9\u0646\u0646\u062f\u0647 KNN \u0646\u06cc\u0632 \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u06cc\u0645 \u0627\u0632 \u0622\u0646 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u0645 <code>score<\/code> \u0631\u0648\u0634\u060c \u0627\u0645\u0627 \u06cc\u06a9 \u0645\u062a\u0631\u06cc\u06a9 \u0645\u062a\u0641\u0627\u0648\u062a \u0631\u0627 \u0627\u062c\u0631\u0627 \u0645\u06cc \u06a9\u0646\u062f \u0632\u06cc\u0631\u0627 \u0645\u0627 \u06cc\u06a9 \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u06a9\u0646\u0646\u062f\u0647 \u0646\u0645\u0631\u0647 \u0645\u06cc \u062f\u0647\u06cc\u0645 \u0648 \u0646\u0647 \u06cc\u06a9 \u0631\u06af\u0631\u0633\u06cc\u0648\u0646.  \u0645\u0639\u06cc\u0627\u0631 \u0627\u0635\u0644\u06cc \u0628\u0631\u0627\u06cc \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u0627\u0633\u062a <code>accuracy<\/code> &#8211; \u062a\u0648\u0636\u06cc\u062d \u0645\u06cc \u062f\u0647\u062f \u06a9\u0647 \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u06a9\u0646\u0646\u062f\u0647 \u0645\u0627 \u0686\u0646\u062f \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u062f\u0631\u0633\u062a \u0627\u0646\u062c\u0627\u0645 \u062f\u0627\u062f\u0647 \u0627\u0633\u062a.  \u06a9\u0645\u062a\u0631\u06cc\u0646 \u0645\u0642\u062f\u0627\u0631 \u062f\u0642\u062a 0 \u0648 \u0628\u06cc\u0634\u062a\u0631\u06cc\u0646 \u0645\u0642\u062f\u0627\u0631 1 \u0627\u0633\u062a. \u0645\u0639\u0645\u0648\u0644\u0627\u064b \u0622\u0646 \u0645\u0642\u062f\u0627\u0631 \u0631\u0627 \u062f\u0631 100 \u0636\u0631\u0628 \u0645\u06cc \u06a9\u0646\u06cc\u0645 \u062a\u0627 \u06cc\u06a9 \u062f\u0631\u0635\u062f \u0628\u062f\u0633\u062a \u0622\u0648\u0631\u06cc\u0645.<\/p>\n<p>$$<br \/>\u062f\u0642\u062a = \\frac{\\text{\u062a\u0639\u062f\u0627\u062f \u067e\u06cc\u0634\u200c\u0628\u06cc\u0646\u06cc\u200c\u0647\u0627\u06cc \u0635\u062d\u06cc\u062d}}{\\text{\u062a\u0639\u062f\u0627\u062f \u06a9\u0644 \u067e\u06cc\u0634\u200c\u0628\u06cc\u0646\u06cc\u200c\u0647\u0627}}<br \/>$$<\/p>\n<div class=\"alert alert-note\">\n<div class=\"flex\">\n<div class=\"flex-shrink-0 mr-3\"><\/div>\n<div class=\"w-full\">\n<p><strong>\u062a\u0648\u062c\u0647 \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u06cc\u062f:<\/strong> \u0628\u0647 \u062f\u0633\u062a \u0622\u0648\u0631\u062f\u0646 \u062f\u0642\u062a 100% \u0628\u0633\u06cc\u0627\u0631 \u0633\u062e\u062a \u0627\u0633\u062a \u0631\u0648\u06cc \u0647\u0631 \u06af\u0648\u0646\u0647 \u062f\u0627\u062f\u0647 \u0648\u0627\u0642\u0639\u06cc\u060c \u0627\u06af\u0631 \u0686\u0646\u06cc\u0646 \u0627\u062a\u0641\u0627\u0642\u06cc \u0628\u06cc\u0641\u062a\u062f\u060c \u0622\u06af\u0627\u0647 \u0628\u0627\u0634\u06cc\u062f \u06a9\u0647 \u0645\u0645\u06a9\u0646 \u0627\u0633\u062a \u0646\u0634\u062a \u06cc\u0627 \u0645\u0634\u06a9\u0644\u06cc \u062f\u0631 \u062d\u0627\u0644 \u0631\u062e \u062f\u0627\u062f\u0646 \u0628\u0627\u0634\u062f &#8211; \u0627\u062a\u0641\u0627\u0642 \u0646\u0638\u0631 \u0648\u062c\u0648\u062f \u0646\u062f\u0627\u0631\u062f \u0631\u0648\u06cc \u06cc\u06a9 \u0645\u0642\u062f\u0627\u0631 \u062f\u0642\u062a \u0627\u06cc\u062f\u0647 \u0622\u0644 \u0627\u0633\u062a \u0648 \u0647\u0645\u0686\u0646\u06cc\u0646 \u0648\u0627\u0628\u0633\u062a\u0647 \u0628\u0647 \u0632\u0645\u06cc\u0646\u0647 \u0627\u0633\u062a.  \u0628\u0633\u062a\u0647 \u0628\u0647 \u0631\u0648\u06cc \u0631\u0627 <em>\u0647\u0632\u06cc\u0646\u0647 \u062e\u0637\u0627<\/em> (\u0686\u0647 \u0628\u062f \u0627\u0633\u062a \u0627\u06af\u0631 \u0628\u0647 \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u06a9\u0646\u0646\u062f\u0647 \u0627\u0639\u062a\u0645\u0627\u062f \u06a9\u0646\u06cc\u0645 \u0648 \u0645\u0639\u0644\u0648\u0645 \u0634\u0648\u062f \u06a9\u0647 \u0627\u0634\u062a\u0628\u0627\u0647 \u0627\u0633\u062a)\u060c \u06cc\u06a9 \u0646\u0631\u062e \u062e\u0637\u0627\u06cc \u0642\u0627\u0628\u0644 \u0642\u0628\u0648\u0644 \u0645\u0645\u06a9\u0646 \u0627\u0633\u062a 5\u066a\u060c 10\u066a \u06cc\u0627 \u062d\u062a\u06cc 30\u066a \u0628\u0627\u0634\u062f.<\/p>\n<\/p><\/div><\/div><\/div>\n<p>\u0628\u06cc\u0627\u06cc\u06cc\u062f \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u06a9\u0646\u0646\u062f\u0647 \u062e\u0648\u062f \u0631\u0627 \u0627\u0645\u062a\u06cc\u0627\u0632 \u062f\u0647\u06cc\u0645:<\/p>\n<pre><code class=\"hljs\">acc =  classifier.score(X_test, y_test)\n<span class=\"hljs-built_in\">print<\/span>(acc) \n<\/code><\/pre>\n<p>\u0628\u0627 \u0646\u06af\u0627\u0647 \u06a9\u0631\u062f\u0646 \u0628\u0647 \u0627\u0645\u062a\u06cc\u0627\u0632 \u0628\u0647 \u062f\u0633\u062a \u0622\u0645\u062f\u0647\u060c \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u0646\u062a\u06cc\u062c\u0647 \u0628\u06af\u06cc\u0631\u06cc\u0645 \u06a9\u0647 \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u06a9\u0646\u0646\u062f\u0647 \u0645\u0627 62\u066a \u0627\u0632 \u06a9\u0644\u0627\u0633 \u0647\u0627\u06cc \u0645\u0627 \u0631\u0627 \u062f\u0631\u0633\u062a \u0628\u0647 \u062f\u0633\u062a \u0622\u0648\u0631\u062f\u0647 \u0627\u0633\u062a.  \u0627\u06cc\u0646 \u062f\u0631 \u062d\u0627\u0644 \u062d\u0627\u0636\u0631 \u0628\u0647 \u062a\u062c\u0632\u06cc\u0647 \u0648 \u062a\u062d\u0644\u06cc\u0644 \u06a9\u0645\u06a9 \u0645\u06cc \u06a9\u0646\u062f\u060c \u0627\u06af\u0631\u0686\u0647 \u062a\u0646\u0647\u0627 \u0628\u0627 \u062f\u0627\u0646\u0633\u062a\u0646 \u0622\u0646\u0686\u0647 \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u06a9\u0646\u0646\u062f\u0647 \u062f\u0631\u0633\u062a \u0627\u0646\u062c\u0627\u0645 \u062f\u0627\u062f\u0647 \u0627\u0633\u062a\u060c \u0628\u0647\u0628\u0648\u062f \u0622\u0646 \u062f\u0634\u0648\u0627\u0631 \u0627\u0633\u062a.<\/p>\n<blockquote>\n<p>4 \u06a9\u0644\u0627\u0633 \u062f\u0631 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0645\u0627 \u0648\u062c\u0648\u062f \u062f\u0627\u0631\u062f &#8211; \u0627\u06af\u0631 \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u06a9\u0646\u0646\u062f\u0647 \u0645\u0627 \u062f\u0631\u06cc\u0627\u0641\u062a \u06a9\u0646\u062f \u0686\u0647 \u0645\u06cc \u0634\u0648\u062f <strong>90 \u062f\u0631\u0635\u062f \u0627\u0632 \u06a9\u0644\u0627\u0633 \u0647\u0627\u06cc 1\u060c 2 \u0648 3 \u062f\u0631\u0633\u062a \u0627\u0633\u062a<\/strong>\u060c \u0627\u0645\u0627 \u062a\u0646\u0647\u0627 <strong>30 \u062f\u0631\u0635\u062f \u0627\u0632 \u06a9\u0644\u0627\u0633 4 \u062f\u0631\u0633\u062a \u0627\u0633\u062a<\/strong>?<\/p>\n<\/blockquote>\n<p>\u06cc\u06a9 \u0634\u06a9\u0633\u062a \u0633\u06cc\u0633\u062a\u0645\u06cc\u06a9 \u0628\u0631\u062e\u06cc \u0627\u0632 \u06a9\u0644\u0627\u0633\u200c\u0647\u0627\u060c \u0628\u0631 \u062e\u0644\u0627\u0641 \u06cc\u06a9 \u0634\u06a9\u0633\u062a \u0645\u062a\u0648\u0627\u0632\u0646 \u0645\u0634\u062a\u0631\u06a9 \u0628\u06cc\u0646 \u06a9\u0644\u0627\u0633\u200c\u0647\u0627\u060c \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u062f \u0647\u0631 \u062f\u0648 \u0627\u0645\u062a\u06cc\u0627\u0632 \u062f\u0642\u062a 62 \u062f\u0631\u0635\u062f \u0631\u0627 \u0628\u0647 \u0647\u0645\u0631\u0627\u0647 \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u062f.  \u062f\u0642\u062a \u0645\u0639\u06cc\u0627\u0631 \u0648\u0627\u0642\u0639\u0627\u064b \u062e\u0648\u0628\u06cc \u0628\u0631\u0627\u06cc \u0627\u0631\u0632\u06cc\u0627\u0628\u06cc \u0648\u0627\u0642\u0639\u06cc \u0646\u06cc\u0633\u062a &#8211; \u0627\u0645\u0627 \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u06cc\u06a9 \u067e\u0631\u0648\u06a9\u0633\u06cc \u062e\u0648\u0628 \u0639\u0645\u0644 \u0645\u06cc \u06a9\u0646\u062f.  \u0627\u063a\u0644\u0628 \u0627\u0648\u0642\u0627\u062a\u060c \u0628\u0627 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0645\u062a\u0639\u0627\u062f\u0644\u060c \u062f\u0642\u062a 62 \u062f\u0631\u0635\u062f \u0646\u0633\u0628\u062a\u0627\u064b \u06cc\u06a9\u0646\u0648\u0627\u062e\u062a \u067e\u062e\u0634 \u0645\u06cc \u0634\u0648\u062f.  \u0647\u0645\u0686\u0646\u06cc\u0646\u060c \u062f\u0631 \u0627\u063a\u0644\u0628 \u0645\u0648\u0627\u0631\u062f\u060c \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647\u200c\u0647\u0627 \u0645\u062a\u0639\u0627\u062f\u0644 \u0646\u06cc\u0633\u062a\u0646\u062f\u060c \u0628\u0646\u0627\u0628\u0631\u0627\u06cc\u0646 \u0645\u0627 \u0628\u0647 \u0646\u0642\u0637\u0647 \u0627\u0648\u0644 \u0628\u0627\u0632\u06af\u0634\u062a\u0647\u200c\u0627\u06cc\u0645 \u0648 \u062f\u0642\u062a \u06cc\u06a9 \u0645\u0639\u06cc\u0627\u0631 \u0646\u0627\u06a9\u0627\u0641\u06cc \u0627\u0633\u062a.<\/p>\n<p>\u0645\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0645\u0639\u06cc\u0627\u0631\u0647\u0627\u06cc \u062f\u06cc\u06af\u0631 \u0628\u0647 \u0646\u062a\u0627\u06cc\u062c \u0639\u0645\u06cc\u0642 \u062a\u0631 \u0646\u06af\u0627\u0647 \u06a9\u0646\u06cc\u0645 \u062a\u0627 \u0628\u062a\u0648\u0627\u0646\u06cc\u0645 \u0622\u0646 \u0631\u0627 \u062a\u0639\u06cc\u06cc\u0646 \u06a9\u0646\u06cc\u0645.  \u0627\u06cc\u0646 \u0645\u0631\u062d\u0644\u0647 \u0646\u06cc\u0632 \u0628\u0627 \u0631\u06af\u0631\u0633\u06cc\u0648\u0646 \u0645\u062a\u0641\u0627\u0648\u062a \u0627\u0633\u062a\u060c \u062f\u0631 \u0627\u06cc\u0646\u062c\u0627 \u0645\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u062e\u0648\u0627\u0647\u06cc\u0645 \u06a9\u0631\u062f:<\/p>\n<ol>\n<li><strong>\u0645\u0627\u062a\u0631\u06cc\u0633 \u0633\u0631\u062f\u0631\u06af\u0645\u06cc<\/strong>: \u0628\u0631\u0627\u06cc \u0627\u06cc\u0646\u06a9\u0647 \u0628\u062f\u0627\u0646\u06cc\u0645 \u0686\u0642\u062f\u0631 \u062f\u0631\u0633\u062a \u06cc\u0627 \u063a\u0644\u0637 \u06a9\u0631\u062f\u06cc\u0645 <strong><em>\u0647\u0631 \u06a9\u0644\u0627\u0633<\/em><\/strong>.  \u0645\u0642\u0627\u062f\u06cc\u0631\u06cc \u06a9\u0647 \u062f\u0631\u0633\u062a \u0648 \u0628\u0647 \u062f\u0631\u0633\u062a\u06cc \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0634\u062f\u0647 \u0628\u0648\u062f\u0646\u062f \u0646\u0627\u0645\u06cc\u062f\u0647 \u0645\u06cc \u0634\u0648\u0646\u062f <em>\u0646\u06a9\u0627\u062a \u0645\u062b\u0628\u062a \u0648\u0627\u0642\u0639\u06cc<\/em> \u0622\u0646\u0647\u0627\u06cc\u06cc \u06a9\u0647 \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0645\u062b\u0628\u062a \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0634\u062f\u0647 \u0628\u0648\u062f\u0646\u062f \u0627\u0645\u0627 \u0645\u062b\u0628\u062a \u0646\u0628\u0648\u062f\u0646\u062f \u0646\u0627\u0645\u06cc\u062f\u0647 \u0645\u06cc \u0634\u0648\u0646\u062f <em>\u0645\u062b\u0628\u062a \u06a9\u0627\u0630\u0628<\/em>.  \u0647\u0645\u0627\u0646 \u0646\u0627\u0645\u06af\u0630\u0627\u0631\u06cc \u0627\u0632 <em>\u0645\u0646\u0641\u06cc \u0647\u0627\u06cc \u0648\u0627\u0642\u0639\u06cc<\/em> \u0648 <em>\u0645\u0646\u0641\u06cc \u0647\u0627\u06cc \u06a9\u0627\u0630\u0628<\/em> \u0628\u0631\u0627\u06cc \u0645\u0642\u0627\u062f\u06cc\u0631 \u0645\u0646\u0641\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u0634\u0648\u062f.<\/li>\n<li><strong>\u062f\u0642\u062a\u060c \u062f\u0631\u0633\u062a\u06cc<\/strong>: \u0628\u0631\u0627\u06cc \u062f\u0631\u06a9 \u0627\u06cc\u0646\u06a9\u0647 \u0686\u0647 \u0645\u0642\u0627\u062f\u06cc\u0631 \u067e\u06cc\u0634\u200c\u0628\u06cc\u0646\u06cc \u062f\u0631\u0633\u062a\u06cc \u062a\u0648\u0633\u0637 \u0637\u0628\u0642\u0647\u200c\u0628\u0646\u062f\u06cc\u200c\u06a9\u0646\u0646\u062f\u0647 \u0645\u0627 \u0635\u062d\u06cc\u062d \u062f\u0631 \u0646\u0638\u0631 \u06af\u0631\u0641\u062a\u0647 \u0634\u062f\u0647 \u0627\u0633\u062a.  \u062f\u0642\u062a \u0622\u0646 \u0645\u0642\u0627\u062f\u06cc\u0631 \u0645\u062b\u0628\u062a \u0648\u0627\u0642\u0639\u06cc \u0631\u0627 \u0628\u0631 \u0647\u0631 \u0686\u06cc\u0632\u06cc \u06a9\u0647 \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0645\u062b\u0628\u062a \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0634\u062f\u0647 \u0628\u0648\u062f \u062a\u0642\u0633\u06cc\u0645 \u0645\u06cc \u06a9\u0646\u062f.<\/li>\n<\/ol>\n<p>$$<br \/>\u062f\u0642\u062a = \\frac{\\text{\u0645\u062b\u0628\u062a \u0648\u0627\u0642\u0639\u06cc}}{\\text{\u0645\u062b\u0628\u062a \u0648\u0627\u0642\u0639\u06cc} + \\\u0645\u062a\u0646{\u0645\u062b\u0628\u062a \u0646\u0627\u062f\u0631\u0633\u062a}}<br \/>$$<\/p>\n<ol start=\"3\">\n<li><strong>\u0628\u0647 \u062e\u0627\u0637\u0631 \u0622\u0648\u0631\u062f\u0646<\/strong>: \u0628\u0631\u0627\u06cc \u062f\u0631\u06a9 \u0627\u06cc\u0646\u06a9\u0647 \u0686\u0647 \u062a\u0639\u062f\u0627\u062f \u0627\u0632 \u0645\u0648\u0627\u0631\u062f \u0645\u062b\u0628\u062a \u0648\u0627\u0642\u0639\u06cc \u062a\u0648\u0633\u0637 \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u06a9\u0646\u0646\u062f\u0647 \u0645\u0627 \u0634\u0646\u0627\u0633\u0627\u06cc\u06cc \u0634\u062f\u0647 \u0627\u0633\u062a.  \u0641\u0631\u0627\u062e\u0648\u0627\u0646 \u0628\u0627 \u062a\u0642\u0633\u06cc\u0645 \u0645\u062b\u0628\u062a \u0647\u0627\u06cc \u0648\u0627\u0642\u0639\u06cc \u0628\u0631 \u0647\u0631 \u0686\u06cc\u0632\u06cc \u06a9\u0647 \u0628\u0627\u06cc\u062f \u0645\u062b\u0628\u062a \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0645\u06cc \u0634\u062f \u0645\u062d\u0627\u0633\u0628\u0647 \u0645\u06cc \u0634\u0648\u062f.<\/li>\n<\/ol>\n<p>$$<br \/>recall = \\frac{\\text{true positive}}{\\text{true positive} + \\text{\u063a\u06cc\u0631 \u063a\u0644\u0637}}<br \/>$$<\/p>\n<ol start=\"4\">\n<li><strong>\u0627\u0645\u062a\u06cc\u0627\u0632 F1<\/strong>: \u0622\u06cc\u0627 \u0645\u062a\u0639\u0627\u062f\u0644 \u06cc\u0627 <em>\u0645\u06cc\u0627\u0646\u06af\u06cc\u0646 \u0647\u0627\u0631\u0645\u0648\u0646\u06cc\u06a9<\/em> \u062f\u0642\u062a \u0648 \u06cc\u0627\u062f\u0622\u0648\u0631\u06cc  \u06a9\u0645\u062a\u0631\u06cc\u0646 \u0645\u0642\u062f\u0627\u0631 0 \u0648 \u0628\u06cc\u0634\u062a\u0631\u06cc\u0646 \u0645\u0642\u062f\u0627\u0631 1 \u0627\u0633\u062a. When <code>f1-score<\/code> \u0628\u0631\u0627\u0628\u0631 \u0628\u0627 1 \u0627\u0633\u062a\u060c \u0628\u0647 \u0627\u06cc\u0646 \u0645\u0639\u0646\u06cc \u0627\u0633\u062a \u06a9\u0647 \u0647\u0645\u0647 \u06a9\u0644\u0627\u0633 \u0647\u0627 \u0628\u0647 \u062f\u0631\u0633\u062a\u06cc \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0634\u062f\u0647 \u0627\u0646\u062f &#8211; \u0627\u06cc\u0646 \u06cc\u06a9 \u0627\u0645\u062a\u06cc\u0627\u0632 \u0628\u0633\u06cc\u0627\u0631 \u0633\u062e\u062a \u0628\u0631\u0627\u06cc \u0628\u0647 \u062f\u0633\u062a \u0622\u0648\u0631\u062f\u0646 \u0628\u0627 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0648\u0627\u0642\u0639\u06cc \u0627\u0633\u062a (\u062a\u0642\u0631\u06cc\u0628\u0627 \u0647\u0645\u06cc\u0634\u0647 \u0627\u0633\u062a\u062b\u0646\u0627 \u0648\u062c\u0648\u062f \u062f\u0627\u0631\u062f).<\/li>\n<\/ol>\n<p>$$<br \/>\\text{f1-score} = 2* \\frac{\\text{precision} * \\text{recall}}{\\text{precision} + \\text{recal}}<br \/>$$<\/p>\n<div class=\"alert alert-note\">\n<div class=\"flex\">\n<div class=\"flex-shrink-0 mr-3\"><\/div>\n<div class=\"w-full\">\n<p><strong>\u062a\u0648\u062c\u0647 \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u06cc\u062f:<\/strong> \u06cc\u06a9 \u0627\u0645\u062a\u06cc\u0627\u0632 F1 \u0648\u0632\u0646\u06cc \u0646\u06cc\u0632 \u0648\u062c\u0648\u062f \u062f\u0627\u0631\u062f\u060c \u0648 \u0641\u0642\u0637 \u06cc\u06a9 F1 \u0627\u0633\u062a \u06a9\u0647 \u0648\u0632\u0646 \u06cc\u06a9\u0633\u0627\u0646\u06cc \u0631\u0627 \u0628\u0631\u0627\u06cc \u0647\u0645\u0647 \u06a9\u0644\u0627\u0633 \u0647\u0627 \u0627\u0639\u0645\u0627\u0644 \u0646\u0645\u06cc \u06a9\u0646\u062f.  \u0648\u0632\u0646 \u0645\u0639\u0645\u0648\u0644\u0627\u064b \u062a\u0648\u0633\u0637 \u06a9\u0644\u0627\u0633 \u0647\u0627 \u062a\u0639\u06cc\u06cc\u0646 \u0645\u06cc \u0634\u0648\u062f <strong>\u062d\u0645\u0627\u06cc\u062a \u06a9\u0631\u062f\u0646<\/strong> &#8211; \u0686\u0646\u062f \u0646\u0645\u0648\u0646\u0647 \u0627\u0632 \u0627\u0645\u062a\u06cc\u0627\u0632 F1 (\u0646\u0633\u0628\u062a \u0628\u0631\u0686\u0633\u0628 \u0647\u0627\u06cc \u0645\u062a\u0639\u0644\u0642 \u0628\u0647 \u06cc\u06a9 \u06a9\u0644\u0627\u0633 \u062e\u0627\u0635) &#8220;\u067e\u0634\u062a\u06cc\u0628\u0627\u0646\u06cc&#8221; \u0645\u06cc \u06a9\u0646\u0646\u062f.  \u0647\u0631\u0686\u0647 \u067e\u0634\u062a\u06cc\u0628\u0627\u0646\u06cc \u06a9\u0645\u062a\u0631 \u0628\u0627\u0634\u062f (\u0646\u0645\u0648\u0646\u0647 \u0647\u0627\u06cc \u06a9\u0645\u062a\u0631\u06cc \u0627\u0632 \u06cc\u06a9 \u06a9\u0644\u0627\u0633)\u060c \u0648\u0632\u0646 F1 \u0628\u0631\u0627\u06cc \u0622\u0646 \u06a9\u0644\u0627\u0633 \u06a9\u0645\u062a\u0631 \u0627\u0633\u062a\u060c \u0632\u06cc\u0631\u0627 \u063a\u06cc\u0631\u0642\u0627\u0628\u0644 \u0627\u0639\u062a\u0645\u0627\u062f\u062a\u0631 \u0627\u0633\u062a.<\/p>\n<\/p><\/div><\/div><\/div>\n<p>\u0627\u06cc\u0646 <code>confusion_matrix()<\/code> \u0648 <code>classification_report()<\/code> \u0631\u0648\u0634 \u0647\u0627\u06cc <code>sklearn.metrics<\/code> \u0645\u0627\u0698\u0648\u0644 \u0631\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646 \u0628\u0631\u0627\u06cc \u0645\u062d\u0627\u0633\u0628\u0647 \u0648 \u0646\u0645\u0627\u06cc\u0634 \u062a\u0645\u0627\u0645 \u0627\u06cc\u0646 \u0645\u0639\u06cc\u0627\u0631\u0647\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0631\u062f.  \u0627\u06cc\u0646 <code>confusion_matrix<\/code> \u0628\u0647\u062a\u0631 \u0627\u0633\u062a \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0646\u0642\u0634\u0647 \u062d\u0631\u0627\u0631\u062a\u06cc \u062a\u062c\u0633\u0645 \u0634\u0648\u062f.  \u06af\u0632\u0627\u0631\u0634 \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u0642\u0628\u0644\u0627\u064b \u0628\u0647 \u0645\u0627 \u0645\u06cc \u062f\u0647\u062f <code>accuracy<\/code>\u060c <code>precision<\/code>\u060c <code>recall<\/code>\u060c \u0648 <code>f1-score<\/code>\u060c \u0627\u0645\u0627 \u0634\u0645\u0627 \u0647\u0645\u0686\u0646\u06cc\u0646 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f import \u0647\u0631 \u06cc\u06a9 \u0627\u0632 \u0627\u06cc\u0646 \u0645\u0639\u06cc\u0627\u0631\u0647\u0627 \u0627\u0632 <code>sklearn.metrics<\/code>.<\/p>\n<p>\u0628\u0631\u0627\u06cc \u0628\u062f\u0633\u062a \u0622\u0648\u0631\u062f\u0646 \u0645\u0639\u06cc\u0627\u0631\u0647\u0627\u060c \u0642\u0637\u0639\u0647 \u0632\u06cc\u0631 \u0631\u0627 \u0627\u062c\u0631\u0627 \u06a9\u0646\u06cc\u062f:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">from<\/span> sklearn.metrics <span class=\"hljs-keyword\">import<\/span> classification_report, confusion_matrix\n\n<span class=\"hljs-keyword\">import<\/span> seaborn <span class=\"hljs-keyword\">as<\/span> sns\n\n\nclasses_names = (<span class=\"hljs-string\">'class 1'<\/span>,<span class=\"hljs-string\">'class 2'<\/span>,<span class=\"hljs-string\">'class 3'<\/span>, <span class=\"hljs-string\">'class 4'<\/span>)\ncm = pd.DataFrame(confusion_matrix(yc_test, yc_pred), \n                  columns=classes_names, index = classes_names)\n                  \n\nsns.heatmap(cm, annot=<span class=\"hljs-literal\">True<\/span>, fmt=<span class=\"hljs-string\">'d'<\/span>);\n\n<span class=\"hljs-built_in\">print<\/span>(classification_report(y_test, y_pred))\n<\/code><\/pre>\n<p>\u062e\u0631\u0648\u062c\u06cc \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0628\u0627\u0644\u0627 \u0628\u0647 \u0634\u06a9\u0644 \u0632\u06cc\u0631 \u0627\u0633\u062a:<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/k-nearest-neighbors-algorithm-python-scikit-learn-7.png\" alt=\"\" title=\"\"><\/p>\n<pre><code class=\"hljs\">              precision    recall  f1-score   support\n\n           1       0.75      0.78      0.76      1292\n           2       0.49      0.56      0.53      1283\n           3       0.51      0.51      0.51      1292\n           4       0.76      0.62      0.69      1293\n\n    accuracy                           0.62      5160\n   macro avg       0.63      0.62      0.62      5160\nweighted avg       0.63      0.62      0.62      5160\n<\/code><\/pre>\n<p>\u0646\u062a\u0627\u06cc\u062c \u0646\u0634\u0627\u0646 \u0645\u06cc \u062f\u0647\u062f \u06a9\u0647 KNN \u062a\u0648\u0627\u0646\u0633\u062a\u0647 \u0627\u0633\u062a \u062a\u0645\u0627\u0645 5160 \u0631\u06a9\u0648\u0631\u062f \u062f\u0631 \u0645\u062c\u0645\u0648\u0639\u0647 \u0622\u0632\u0645\u0627\u06cc\u0634\u06cc \u0631\u0627 \u0628\u0627 \u062f\u0642\u062a 62 \u062f\u0631\u0635\u062f \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u06a9\u0646\u062f \u06a9\u0647 \u0628\u0627\u0644\u0627\u062a\u0631 \u0627\u0632 \u062d\u062f \u0645\u062a\u0648\u0633\u0637 \u200b\u200b\u0627\u0633\u062a.  \u067e\u0634\u062a\u06cc\u0628\u0627\u0646\u06cc \u0647\u0627 \u0646\u0633\u0628\u062a\u0627\u064b \u0628\u0631\u0627\u0628\u0631 \u0647\u0633\u062a\u0646\u062f (\u062a\u0648\u0632\u06cc\u0639 \u06cc\u06a9\u0646\u0648\u0627\u062e\u062a \u06a9\u0644\u0627\u0633 \u0647\u0627 \u062f\u0631 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647)\u060c \u0628\u0646\u0627\u0628\u0631\u0627\u06cc\u0646 F1 \u0648\u0632\u0646 \u062f\u0627\u0631 \u0648 F1 \u0628\u062f\u0648\u0646 \u0648\u0632\u0646 \u062a\u0642\u0631\u06cc\u0628\u0627\u064b \u06cc\u06a9\u0633\u0627\u0646 \u062e\u0648\u0627\u0647\u0646\u062f \u0628\u0648\u062f.<\/p>\n<p>\u0645\u0627 \u0647\u0645\u0686\u0646\u06cc\u0646 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u0646\u062a\u06cc\u062c\u0647 \u0645\u0639\u06cc\u0627\u0631\u0647\u0627\u06cc \u0647\u0631 \u06cc\u06a9 \u0627\u0632 4 \u06a9\u0644\u0627\u0633 \u0631\u0627 \u0645\u0634\u0627\u0647\u062f\u0647 \u06a9\u0646\u06cc\u0645.  \u0627\u0632 \u0622\u0646 \u062c\u0627\u060c \u0645\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u0645\u062a\u0648\u062c\u0647 \u0622\u0646 \u0634\u0648\u06cc\u0645 <code>class 2<\/code> \u06a9\u0645\u062a\u0631\u06cc\u0646 \u062f\u0642\u062a\u060c \u06a9\u0645\u062a\u0631\u06cc\u0646 \u0631\u0627 \u062f\u0627\u0634\u062a <code>recall<\/code>\u060c \u0648 \u06a9\u0645\u062a\u0631\u06cc\u0646 <code>f1-score<\/code>. <code>Class 3<\/code> \u062f\u0631\u0633\u062a \u067e\u0634\u062a \u0633\u0631 \u0627\u0633\u062a <code>class 2<\/code> \u0628\u0631\u0627\u06cc \u062f\u0627\u0634\u062a\u0646 \u06a9\u0645\u062a\u0631\u06cc\u0646 \u0627\u0645\u062a\u06cc\u0627\u0632\u060c \u0648 \u067e\u0633 \u0627\u0632 \u0622\u0646\u060c \u0645\u0627 \u062f\u0627\u0631\u06cc\u0645 <code>class 1<\/code> \u0628\u0627 \u0628\u0647\u062a\u0631\u06cc\u0646 \u0646\u0645\u0631\u0627\u062a \u0628\u0647 \u062f\u0646\u0628\u0627\u0644 \u0622\u0646 <code>class 4<\/code>.<\/p>\n<p>\u0628\u0627 \u0646\u06af\u0627\u0647 \u06a9\u0631\u062f\u0646 \u0628\u0647 \u0645\u0627\u062a\u0631\u06cc\u0633 \u0633\u0631\u062f\u0631\u06af\u0645\u06cc\u060c \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u0645\u062a\u0648\u062c\u0647 \u0634\u0648\u06cc\u0645 \u06a9\u0647:<\/p>\n<ul>\n<li><code>class 1<\/code>  \u0628\u06cc\u0634\u062a\u0631 \u0627\u0634\u062a\u0628\u0627\u0647 \u06af\u0631\u0641\u062a\u0647 \u0634\u062f <code>class 2<\/code> \u062f\u0631 238 \u0645\u0648\u0631\u062f<\/li>\n<li><code>class 2<\/code>  \u0628\u0631\u0627\u06cc <code>class 1<\/code> \u062f\u0631 256 \u0645\u062f\u062e\u0644\u060c \u0648 \u0628\u0631\u0627\u06cc <code>class 3<\/code> \u062f\u0631 260 \u0645\u0648\u0631\u062f<\/li>\n<li><code>class 3<\/code>  \u0628\u06cc\u0634\u062a\u0631 \u0627\u0634\u062a\u0628\u0627\u0647 \u0634\u062f\u0647 \u0628\u0648\u062f <code>class 2<\/code>\u060c 374 \u0645\u062f\u062e\u0644 \u0648 <code>class 4<\/code>\u060c \u062f\u0631 193 \u0645\u0648\u0631\u062f<\/li>\n<li><code>class 4<\/code>  \u0628\u0647 \u0627\u0634\u062a\u0628\u0627\u0647 \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u0634\u062f <code>class 3<\/code> \u0628\u0631\u0627\u06cc 339 \u0648\u0631\u0648\u062f\u06cc\u060c \u0648 \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 <code>class 2<\/code> \u062f\u0631 130 \u0645\u0648\u0631\u062f<\/li>\n<\/ul>\n<p>\u0647\u0645\u0686\u0646\u06cc\u0646\u060c \u062a\u0648\u062c\u0647 \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u06cc\u062f \u06a9\u0647 \u0645\u0648\u0631\u0628 \u0645\u0642\u0627\u062f\u06cc\u0631 \u0645\u062b\u0628\u062a \u0648\u0627\u0642\u0639\u06cc \u0631\u0627 \u0646\u0634\u0627\u0646 \u0645\u06cc \u062f\u0647\u062f\u060c \u0648\u0642\u062a\u06cc \u0628\u0647 \u0622\u0646 \u0646\u06af\u0627\u0647 \u0645\u06cc \u06a9\u0646\u06cc\u062f\u060c \u0628\u0647 \u0648\u0636\u0648\u062d \u0645\u06cc \u0628\u06cc\u0646\u06cc\u062f \u06a9\u0647 <code>class 2<\/code> \u0648 <code>class 3<\/code> \u062f\u0627\u0631\u0627\u06cc \u06a9\u0645\u062a\u0631\u06cc\u0646 \u0645\u0642\u0627\u062f\u06cc\u0631 \u062f\u0631\u0633\u062a \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0634\u062f\u0647 \u0627\u0633\u062a.<\/p>\n<p>\u0628\u0627 \u0627\u06cc\u0646 \u0646\u062a\u0627\u06cc\u062c\u060c \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u06cc\u0645 \u0628\u0627 \u0628\u0631\u0631\u0633\u06cc \u0628\u06cc\u0634\u062a\u0631 \u0622\u0646\u0647\u0627 \u0628\u0647 \u062a\u062d\u0644\u06cc\u0644 \u0639\u0645\u06cc\u0642\u200c\u062a\u0631 \u0628\u0631\u0648\u06cc\u0645 \u062a\u0627 \u0628\u0641\u0647\u0645\u06cc\u0645 \u0686\u0631\u0627 \u0627\u06cc\u0646 \u0627\u062a\u0641\u0627\u0642 \u0627\u0641\u062a\u0627\u062f\u0647 \u0627\u0633\u062a\u060c \u0648 \u0647\u0645\u0686\u0646\u06cc\u0646 \u062f\u0631\u06a9 \u06a9\u0646\u06cc\u0645 \u06a9\u0647 \u0622\u06cc\u0627 4 \u06a9\u0644\u0627\u0633 \u0628\u0647\u062a\u0631\u06cc\u0646 \u0631\u0627\u0647 \u0628\u0631\u0627\u06cc \u062c\u0645\u0639 \u06a9\u0631\u062f\u0646 \u062f\u0627\u062f\u0647\u200c\u0647\u0627 \u0647\u0633\u062a\u0646\u062f \u06cc\u0627 \u062e\u06cc\u0631.  \u0634\u0627\u06cc\u062f \u0627\u0631\u0632\u0634 \u0647\u0627\u06cc\u06cc \u0627\u0632 <code>class 2<\/code> \u0648 <code>class 3<\/code>  \u062e\u06cc\u0644\u06cc \u0628\u0647 \u0647\u0645 \u0646\u0632\u062f\u06cc\u06a9 \u0628\u0648\u062f\u0646\u062f\u060c \u0628\u0646\u0627\u0628\u0631\u0627\u06cc\u0646 \u062a\u0634\u062e\u06cc\u0635 \u0622\u0646\u0647\u0627 \u0627\u0632 \u0647\u0645 \u0633\u062e\u062a \u0634\u062f.<\/p>\n<blockquote>\n<p>\u0647\u0645\u06cc\u0634\u0647 \u0633\u0639\u06cc \u06a9\u0646\u06cc\u062f \u062f\u0627\u062f\u0647 \u0647\u0627 \u0631\u0627 \u0628\u0627 \u062a\u0639\u062f\u0627\u062f \u0633\u0637\u0644 \u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641 \u062a\u0633\u062a \u06a9\u0646\u06cc\u062f \u062a\u0627 \u0628\u0628\u06cc\u0646\u06cc\u062f \u0686\u0647 \u0627\u062a\u0641\u0627\u0642\u06cc \u0645\u06cc \u0627\u0641\u062a\u062f.<\/p>\n<\/blockquote>\n<p>\u0639\u0644\u0627\u0648\u0647 \u0628\u0631 \u062a\u0639\u062f\u0627\u062f \u062f\u0644\u062e\u0648\u0627\u0647 bin \u0647\u0627\u06cc \u062f\u0627\u062f\u0647\u060c \u062a\u0639\u062f\u0627\u062f \u062f\u0644\u062e\u0648\u0627\u0647 \u062f\u06cc\u06af\u0631\u06cc \u0646\u06cc\u0632 \u0648\u062c\u0648\u062f \u062f\u0627\u0631\u062f \u06a9\u0647 \u0645\u0627 \u0627\u0646\u062a\u062e\u0627\u0628 \u06a9\u0631\u062f\u0647 \u0627\u06cc\u0645\u060c \u062a\u0639\u062f\u0627\u062f \u0647\u0645\u0633\u0627\u06cc\u06af\u0627\u0646 K.  \u0647\u0645\u0627\u0646 \u062a\u06a9\u0646\u06cc\u06a9\u06cc \u0631\u0627 \u06a9\u0647 \u0628\u0631\u0627\u06cc \u06a9\u0627\u0631 \u0631\u06af\u0631\u0633\u06cc\u0648\u0646 \u0628\u0647 \u06a9\u0627\u0631 \u0628\u0631\u062f\u06cc\u0645\u060c \u0645\u06cc\u200c\u062a\u0648\u0627\u0646 \u0628\u0631\u0627\u06cc \u0637\u0628\u0642\u0647\u200c\u0628\u0646\u062f\u06cc \u062f\u0631 \u0647\u0646\u06af\u0627\u0645 \u062a\u0639\u06cc\u06cc\u0646 \u062a\u0639\u062f\u0627\u062f K\u0647\u0627\u06cc\u06cc \u06a9\u0647 \u06cc\u06a9 \u0645\u0642\u062f\u0627\u0631 \u0645\u062a\u0631\u06cc\u06a9 \u0631\u0627 \u0628\u0647 \u062d\u062f\u0627\u06a9\u062b\u0631 \u06cc\u0627 \u062d\u062f\u0627\u0642\u0644 \u0645\u06cc\u200c\u0631\u0633\u0627\u0646\u0646\u062f\u060c \u0627\u0639\u0645\u0627\u0644 \u06a9\u0631\u062f.<\/p>\n<h3 id=\"findingthebestkforknnclassification\"><span class=\"ez-toc-section\" id=\"%db%8c%d8%a7%d9%81%d8%aa%d9%86_%d8%a8%d9%87%d8%aa%d8%b1%db%8c%d9%86_k_%d8%a8%d8%b1%d8%a7%db%8c_%d8%b7%d8%a8%d9%82%d9%87_%d8%a8%d9%86%d8%af%db%8c_knn\"><\/span>\u06cc\u0627\u0641\u062a\u0646 \u0628\u0647\u062a\u0631\u06cc\u0646 K \u0628\u0631\u0627\u06cc \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc KNN<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u0628\u06cc\u0627\u06cc\u06cc\u062f \u0622\u0646\u0686\u0647 \u0631\u0627 \u06a9\u0647 \u0628\u0631\u0627\u06cc \u0631\u06af\u0631\u0633\u06cc\u0648\u0646 \u0627\u0646\u062c\u0627\u0645 \u0634\u062f\u0647 \u0627\u0633\u062a \u062a\u06a9\u0631\u0627\u0631 \u06a9\u0646\u06cc\u0645 \u0648 \u0646\u0645\u0648\u062f\u0627\u0631 \u0645\u0642\u0627\u062f\u06cc\u0631 K \u0648 \u0645\u062a\u0631\u06cc\u06a9 \u0645\u0631\u0628\u0648\u0637\u0647 \u0631\u0627 \u0628\u0631\u0627\u06cc \u0645\u062c\u0645\u0648\u0639\u0647 \u062a\u0633\u062a \u0631\u0633\u0645 \u06a9\u0646\u06cc\u0645.  \u0647\u0645\u0686\u0646\u06cc\u0646 \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u06cc\u062f \u0645\u0639\u06cc\u0627\u0631\u06cc \u0631\u0627 \u0627\u0646\u062a\u062e\u0627\u0628 \u06a9\u0646\u06cc\u062f \u06a9\u0647 \u0628\u0627 \u0634\u0631\u0627\u06cc\u0637 \u0634\u0645\u0627 \u0645\u0637\u0627\u0628\u0642\u062a \u062f\u0627\u0631\u062f\u060c \u062f\u0631 \u0627\u06cc\u0646\u062c\u0627 \u0645\u0627 \u0627\u0646\u062a\u062e\u0627\u0628 \u0645\u06cc\u200c\u06a9\u0646\u06cc\u0645 <code>f1-score<\/code>.<\/p>\n<p>\u0628\u0647 \u0627\u06cc\u0646 \u062a\u0631\u062a\u06cc\u0628\u060c \u0645\u0627 \u0637\u0631\u062d <code>f1-score<\/code> \u0628\u0631\u0627\u06cc \u0645\u0642\u0627\u062f\u06cc\u0631 \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0634\u062f\u0647 \u0645\u062c\u0645\u0648\u0639\u0647 \u062a\u0633\u062a \u0628\u0631\u0627\u06cc \u0647\u0645\u0647 \u0645\u0642\u0627\u062f\u06cc\u0631 K \u0628\u06cc\u0646 1 \u062a\u0627 40.<\/p>\n<p>\u0627\u0648\u0644 \u0645\u0627 import \u0631\u0627 <code>f1_score<\/code> \u0627\u0632 \u062c\u0627\u0646\u0628 <code>sklearn.metrics<\/code> \u0648 \u0633\u067e\u0633 \u0645\u0642\u062f\u0627\u0631 \u0622\u0646 \u0631\u0627 \u0628\u0631\u0627\u06cc \u062a\u0645\u0627\u0645 \u067e\u06cc\u0634\u200c\u0628\u06cc\u0646\u06cc\u200c\u0647\u0627\u06cc \u0637\u0628\u0642\u0647\u200c\u0628\u0646\u062f\u06cc\u200c\u06a9\u0646\u0646\u062f\u0647 K-Nearest Neighbors \u0645\u062d\u0627\u0633\u0628\u0647 \u06a9\u0646\u06cc\u062f\u060c \u06a9\u0647 \u062f\u0631 \u0622\u0646 K \u0627\u0632 1 \u062a\u0627 40 \u0645\u062a\u063a\u06cc\u0631 \u0627\u0633\u062a:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">from<\/span> sklearn.metrics <span class=\"hljs-keyword\">import<\/span> f1_score\n\nf1s = ()\n\n\n<span class=\"hljs-keyword\">for<\/span> i <span class=\"hljs-keyword\">in<\/span> <span class=\"hljs-built_in\">range<\/span>(<span class=\"hljs-number\">1<\/span>, <span class=\"hljs-number\">40<\/span>):\n    knn = KNeighborsClassifier(n_neighbors=i)\n    knn.fit(X_train, y_train)\n    pred_i = knn.predict(X_test)\n    \n    f1s.append(f1_score(y_test, pred_i, average=<span class=\"hljs-string\">'weighted'<\/span>))\n<\/code><\/pre>\n<p>\u0645\u0631\u062d\u0644\u0647 \u0628\u0639\u062f\u06cc \u062a\u0631\u0633\u06cc\u0645 \u0646\u0645\u0648\u062f\u0627\u0631 \u0627\u0633\u062a <code>f1_score<\/code> \u0645\u0642\u0627\u062f\u06cc\u0631 \u062f\u0631 \u0645\u0642\u0627\u0628\u0644 \u0645\u0642\u0627\u062f\u06cc\u0631 K  \u062a\u0641\u0627\u0648\u062a \u0631\u06af\u0631\u0633\u06cc\u0648\u0646 \u062f\u0631 \u0627\u06cc\u0646 \u0627\u0633\u062a \u06a9\u0647 \u0628\u0647 \u062c\u0627\u06cc \u0627\u0646\u062a\u062e\u0627\u0628 \u0645\u0642\u062f\u0627\u0631 K \u06a9\u0647 \u062e\u0637\u0627 \u0631\u0627 \u0628\u0647 \u062d\u062f\u0627\u0642\u0644 \u0645\u06cc \u0631\u0633\u0627\u0646\u062f\u060c \u0627\u06cc\u0646 \u0628\u0627\u0631 \u0645\u0642\u062f\u0627\u0631\u06cc \u0631\u0627 \u0627\u0646\u062a\u062e\u0627\u0628 \u0645\u06cc \u06a9\u0646\u06cc\u0645 \u06a9\u0647 \u0645\u0642\u062f\u0627\u0631 \u0631\u0627 \u0628\u0647 \u062d\u062f\u0627\u06a9\u062b\u0631 \u0645\u06cc \u0631\u0633\u0627\u0646\u062f. <code>f1-score<\/code>.<\/p>\n<p>\u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0632\u06cc\u0631 \u0631\u0627 \u0628\u0631\u0627\u06cc \u0627\u06cc\u062c\u0627\u062f \u0637\u0631\u062d \u0627\u062c\u0631\u0627 \u06a9\u0646\u06cc\u062f:<\/p>\n<pre><code class=\"hljs\">plt.figure(figsize=(<span class=\"hljs-number\">12<\/span>, <span class=\"hljs-number\">6<\/span>))\nplt.plot(<span class=\"hljs-built_in\">range<\/span>(<span class=\"hljs-number\">1<\/span>, <span class=\"hljs-number\">40<\/span>), f1s, color=<span class=\"hljs-string\">'red'<\/span>, linestyle=<span class=\"hljs-string\">'dashed'<\/span>, marker=<span class=\"hljs-string\">'o'<\/span>,\n         markerfacecolor=<span class=\"hljs-string\">'blue'<\/span>, markersize=<span class=\"hljs-number\">10<\/span>)\nplt.title(<span class=\"hljs-string\">'F1 Score K Value'<\/span>)\nplt.xlabel(<span class=\"hljs-string\">'K Value'<\/span>)\nplt.ylabel(<span class=\"hljs-string\">'F1 Score'<\/span>)\n<\/code><\/pre>\n<p>\u0646\u0645\u0648\u062f\u0627\u0631 \u062e\u0631\u0648\u062c\u06cc \u0628\u0647 \u0634\u06a9\u0644 \u0632\u06cc\u0631 \u0627\u0633\u062a:<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/k-nearest-neighbors-algorithm-python-scikit-learn-8.png\" alt=\"\" title=\"\"><\/p>\n<p>\u0627\u0632 \u062e\u0631\u0648\u062c\u06cc\u060c \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u0628\u0628\u06cc\u0646\u06cc\u0645 \u06a9\u0647 <code>f1-score<\/code> \u0632\u0645\u0627\u0646\u06cc \u06a9\u0647 \u0645\u0642\u062f\u0627\u0631 K \u0628\u0627\u0634\u062f \u0628\u0627\u0644\u0627\u062a\u0631\u06cc\u0646 \u0645\u0642\u062f\u0627\u0631 \u0627\u0633\u062a <code>15<\/code>.  \u0628\u06cc\u0627\u06cc\u06cc\u062f \u0637\u0628\u0642\u0647\u200c\u0628\u0646\u062f\u06cc\u200c\u06a9\u0646\u0646\u062f\u0647 \u062e\u0648\u062f \u0631\u0627 \u0628\u0627 15 \u0647\u0645\u0633\u0627\u06cc\u0647 \u062f\u0648\u0628\u0627\u0631\u0647 \u0622\u0645\u0648\u0632\u0634 \u062f\u0647\u06cc\u0645 \u0648 \u0628\u0628\u06cc\u0646\u06cc\u0645 \u0628\u0627 \u0646\u062a\u0627\u06cc\u062c \u06af\u0632\u0627\u0631\u0634 \u0637\u0628\u0642\u0647\u200c\u0628\u0646\u062f\u06cc \u0645\u0627 \u0686\u0647 \u0645\u06cc\u200c\u06a9\u0646\u062f:<\/p>\n<pre><code class=\"hljs\">classifier15 = KNeighborsClassifier(n_neighbors=<span class=\"hljs-number\">15<\/span>)\nclassifier15.fit(X_train, y_train)\ny_pred15 = classifier15.predict(X_test)\n<span class=\"hljs-built_in\">print<\/span>(classification_report(y_test, y_pred15))\n<\/code><\/pre>\n<p>\u0627\u06cc\u0646 \u062e\u0631\u0648\u062c\u06cc:<\/p>\n<pre><code class=\"hljs\">              precision    recall  f1-score   support\n\n           1       0.77      0.79      0.78      1292\n           2       0.52      0.58      0.55      1283\n           3       0.51      0.53      0.52      1292\n           4       0.77      0.64      0.70      1293\n\n    accuracy                           0.63      5160\n   macro avg       0.64      0.63      0.64      5160\nweighted avg       0.64      0.63      0.64      5160\n<\/code><\/pre>\n<p>\u062a\u0648\u062c\u0647 \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u06cc\u062f \u06a9\u0647 \u0645\u0639\u06cc\u0627\u0631\u0647\u0627\u06cc \u0645\u0627 \u0628\u0627 15 \u0647\u0645\u0633\u0627\u06cc\u0647 \u0628\u0647\u0628\u0648\u062f \u06cc\u0627\u0641\u062a\u0647 \u0627\u0633\u062a\u060c \u0645\u0627 \u062f\u0642\u062a 63\u066a \u0648 \u0628\u0627\u0644\u0627\u062a\u0631 \u062f\u0627\u0631\u06cc\u0645. <code>precision<\/code>\u060c <code>recall<\/code>\u060c \u0648 <code>f1-scores<\/code>\u060c \u0627\u0645\u0627 \u0647\u0646\u0648\u0632 \u0628\u0627\u06cc\u062f \u0628\u06cc\u0634\u062a\u0631 \u0628\u0647 \u0633\u0637\u0644 \u0647\u0627 \u0646\u06af\u0627\u0647 \u06a9\u0646\u06cc\u0645 \u062a\u0627 \u0628\u0641\u0647\u0645\u06cc\u0645 \u0686\u0631\u0627 <code>f1-score<\/code> \u0628\u0631\u0627\u06cc \u06a9\u0644\u0627\u0633 \u0647\u0627 <code>2<\/code> \u0648 <code>3<\/code> \u0647\u0646\u0648\u0632 \u06a9\u0645 \u0627\u0633\u062a<\/p>\n<p>\u0639\u0644\u0627\u0648\u0647 \u0628\u0631 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 KNN \u0628\u0631\u0627\u06cc \u0631\u06af\u0631\u0633\u06cc\u0648\u0646 \u0648 \u062a\u0639\u06cc\u06cc\u0646 \u0645\u0642\u0627\u062f\u06cc\u0631 \u0628\u0644\u0648\u06a9 \u0648 \u0628\u0631\u0627\u06cc \u0637\u0628\u0642\u0647\u200c\u0628\u0646\u062f\u06cc\u060c \u0628\u0631\u0627\u06cc \u062a\u0639\u06cc\u06cc\u0646 \u06a9\u0644\u0627\u0633\u200c\u0647\u0627\u06cc \u0628\u0644\u0648\u06a9 &#8211; \u0645\u0627 \u0647\u0645\u0686\u0646\u06cc\u0646 \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u06cc\u0645 \u0627\u0632 KNN \u0628\u0631\u0627\u06cc \u062a\u0634\u062e\u06cc\u0635 \u0627\u06cc\u0646\u06a9\u0647 \u06a9\u062f\u0627\u0645 \u0645\u0642\u0627\u062f\u06cc\u0631 \u0645\u06cc\u0627\u0646\u06af\u06cc\u0646 \u0628\u0644\u0648\u06a9\u200c\u0647\u0627 \u0628\u0627 \u0627\u06a9\u062b\u0631 \u0622\u0646\u0647\u0627 \u0645\u062a\u0641\u0627\u0648\u062a \u0647\u0633\u062a\u0646\u062f &#8211; \u0622\u0646\u0647\u0627\u06cc\u06cc \u06a9\u0647 \u0627\u0632 \u0622\u0646\u0686\u0647 \u0628\u06cc\u0634\u062a\u0631 \u062f\u0627\u062f\u0647\u200c\u0647\u0627 \u0627\u0646\u062c\u0627\u0645 \u0645\u06cc\u200c\u062f\u0647\u0646\u062f \u067e\u06cc\u0631\u0648\u06cc \u0646\u0645\u06cc\u200c\u06a9\u0646\u0646\u062f \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u0645.  \u0628\u0647 \u0639\u0628\u0627\u0631\u062a \u062f\u06cc\u06af\u0631\u060c \u0645\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u0627\u0632 KNN \u0628\u0631\u0627\u06cc <em>\u062a\u0634\u062e\u06cc\u0635 \u0646\u0642\u0627\u0637 \u067e\u0631\u062a<\/em>.<\/p>\n<h2 id=\"implementingknnforoutlierdetectionwithscikitlearn\"><span class=\"ez-toc-section\" id=\"%d9%be%db%8c%d8%a7%d8%af%d9%87%e2%80%8c%d8%b3%d8%a7%d8%b2%db%8c_knn_%d8%a8%d8%b1%d8%a7%db%8c_%d8%aa%d8%b4%d8%ae%db%8c%d8%b5_%d8%a8%db%8c%d8%b1%d9%88%d9%86%db%8c_%d8%a8%d8%a7_scikit-learn\"><\/span>\u067e\u06cc\u0627\u062f\u0647\u200c\u0633\u0627\u0632\u06cc KNN \u0628\u0631\u0627\u06cc \u062a\u0634\u062e\u06cc\u0635 \u0628\u06cc\u0631\u0648\u0646\u06cc \u0628\u0627 Scikit-Learn<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><em>\u062a\u0634\u062e\u06cc\u0635 \u067e\u0631\u062a<\/em> \u0627\u0632 \u0631\u0648\u0634 \u062f\u06cc\u06af\u0631\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u06a9\u0646\u062f \u06a9\u0647 \u0628\u0627 \u0622\u0646\u0686\u0647 \u0642\u0628\u0644\u0627\u064b \u0628\u0631\u0627\u06cc \u0631\u06af\u0631\u0633\u06cc\u0648\u0646 \u0648 \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u0627\u0646\u062c\u0627\u0645 \u062f\u0627\u062f\u0647 \u0628\u0648\u062f\u06cc\u0645 \u0645\u062a\u0641\u0627\u0648\u062a \u0627\u0633\u062a.<\/p>\n<p>\u062f\u0631 \u0627\u06cc\u0646\u062c\u0627\u060c \u062e\u0648\u0627\u0647\u06cc\u0645 \u062f\u06cc\u062f \u06a9\u0647 \u0647\u0631 \u06cc\u06a9 \u0627\u0632 \u0647\u0645\u0633\u0627\u06cc\u06af\u0627\u0646 \u0686\u0642\u062f\u0631 \u0627\u0632 \u06cc\u06a9 \u0646\u0642\u0637\u0647 \u062f\u0627\u062f\u0647 \u0641\u0627\u0635\u0644\u0647 \u062f\u0627\u0631\u0646\u062f.  \u0628\u06cc\u0627\u06cc\u06cc\u062f \u0627\u0632 5 \u0647\u0645\u0633\u0627\u06cc\u0647 \u067e\u06cc\u0634 \u0641\u0631\u0636 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u0645.  \u0628\u0631\u0627\u06cc \u06cc\u06a9 \u0646\u0642\u0637\u0647 \u062f\u0627\u062f\u0647\u060c \u0641\u0627\u0635\u0644\u0647 \u0647\u0631 \u06cc\u06a9 \u0627\u0632 K-\u0646\u0632\u062f\u06cc\u06a9\u062a\u0631\u06cc\u0646 \u0647\u0645\u0633\u0627\u06cc\u0647 \u0631\u0627 \u0645\u062d\u0627\u0633\u0628\u0647 \u062e\u0648\u0627\u0647\u06cc\u0645 \u06a9\u0631\u062f.  \u0628\u0631\u0627\u06cc \u0627\u0646\u062c\u0627\u0645 \u0622\u0646\u060c \u0645\u0627 \u0627\u0646\u062c\u0627\u0645 \u062e\u0648\u0627\u0647\u06cc\u0645 \u062f\u0627\u062f import \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 KNN \u062f\u06cc\u06af\u0631\u06cc \u0627\u0632 Scikit-learn \u06a9\u0647 \u0628\u0631\u0627\u06cc \u0631\u06af\u0631\u0633\u06cc\u0648\u0646 \u06cc\u0627 \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u062e\u0627\u0635 \u0646\u06cc\u0633\u062a \u0648 \u0628\u0647 \u0633\u0627\u062f\u06af\u06cc \u0646\u0627\u0645\u06cc\u062f\u0647 \u0645\u06cc \u0634\u0648\u062f. <code>NearestNeighbors<\/code>.<\/p>\n<p>\u067e\u0633 \u0627\u0632 \u0648\u0627\u0631\u062f \u06a9\u0631\u062f\u0646\u060c a \u0631\u0627 \u0646\u0645\u0648\u0646\u0647 \u0645\u06cc \u06a9\u0646\u06cc\u0645 <code>NearestNeighbors<\/code> \u06a9\u0644\u0627\u0633 \u0628\u0627 5 \u0647\u0645\u0633\u0627\u06cc\u0647 &#8211; \u0634\u0645\u0627 \u0647\u0645\u0686\u0646\u06cc\u0646 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0622\u0646 \u0631\u0627 \u0628\u0627 12 \u0647\u0645\u0633\u0627\u06cc\u0647 \u0628\u0631\u0627\u06cc \u0634\u0646\u0627\u0633\u0627\u06cc\u06cc \u0646\u0642\u0627\u0637 \u067e\u0631\u062a \u062f\u0631 \u0645\u062b\u0627\u0644 \u0631\u06af\u0631\u0633\u06cc\u0648\u0646 \u0645\u0627 \u06cc\u0627 \u0628\u0627 15 \u0646\u0645\u0648\u0646\u0647 \u0633\u0627\u0632\u06cc \u06a9\u0646\u06cc\u062f \u062a\u0627 \u0628\u0631\u0627\u06cc \u0645\u062b\u0627\u0644 \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u0646\u06cc\u0632 \u0647\u0645\u06cc\u0646 \u06a9\u0627\u0631 \u0631\u0627 \u0627\u0646\u062c\u0627\u0645 \u062f\u0647\u06cc\u062f.  \u0633\u067e\u0633 \u062f\u0627\u062f\u0647\u200c\u0647\u0627\u06cc \u0642\u0637\u0627\u0631 \u062e\u0648\u062f \u0631\u0627 \u062c\u0627 \u062f\u0627\u062f\u0647 \u0648 \u0627\u0632 \u0622\u0646 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc\u200c\u06a9\u0646\u06cc\u0645 <code>kneighbors()<\/code> \u0631\u0648\u0634\u06cc \u0628\u0631\u0627\u06cc \u06cc\u0627\u0641\u062a\u0646 \u0641\u0627\u0635\u0644\u0647 \u0647\u0627\u06cc \u0645\u062d\u0627\u0633\u0628\u0647 \u0634\u062f\u0647 \u0628\u0631\u0627\u06cc \u0647\u0631 \u0646\u0642\u0637\u0647 \u062f\u0627\u062f\u0647 \u0648 \u0634\u0627\u062e\u0635 \u0647\u0627\u06cc \u0647\u0645\u0633\u0627\u06cc\u0647:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">from<\/span> sklearn.neighbors <span class=\"hljs-keyword\">import<\/span> NearestNeighbors\n\nnbrs = NearestNeighbors(n_neighbors = <span class=\"hljs-number\">5<\/span>)\nnbrs.fit(X_train)\n\ndistances, indexes = nbrs.kneighbors(X_train)\n<\/code><\/pre>\n<p>\u0627\u06a9\u0646\u0648\u0646 \u0645\u0627 5 \u0641\u0627\u0635\u0644\u0647 \u0628\u0631\u0627\u06cc \u0647\u0631 \u0646\u0642\u0637\u0647 \u062f\u0627\u062f\u0647 \u062f\u0627\u0631\u06cc\u0645 &#8211; \u0641\u0627\u0635\u0644\u0647 \u0628\u06cc\u0646 \u062e\u0648\u062f \u0648 5 \u0647\u0645\u0633\u0627\u06cc\u0647 \u0627\u0634\u060c \u0648 \u0634\u0627\u062e\u0635\u06cc \u06a9\u0647 \u0622\u0646\u0647\u0627 \u0631\u0627 \u0634\u0646\u0627\u0633\u0627\u06cc\u06cc \u0645\u06cc \u06a9\u0646\u062f.  \u0628\u06cc\u0627\u06cc\u06cc\u062f \u0646\u06af\u0627\u0647\u06cc \u0628\u0647 \u0633\u0647 \u0646\u062a\u06cc\u062c\u0647 \u0627\u0648\u0644 \u0648 \u0634\u06a9\u0644 \u0622\u0631\u0627\u06cc\u0647 \u0628\u06cc\u0646\u062f\u0627\u0632\u06cc\u0645 \u062a\u0627 \u0627\u06cc\u0646 \u0645\u0648\u0636\u0648\u0639 \u0631\u0627 \u0628\u0647\u062a\u0631 \u062a\u062c\u0633\u0645 \u06a9\u0646\u06cc\u0645.<\/p>\n<p>\u0628\u0631\u0627\u06cc \u0645\u0634\u0627\u0647\u062f\u0647 \u0634\u06a9\u0644 \u0633\u0647 \u0641\u0627\u0635\u0644\u0647 \u0627\u0648\u0644\u060c \u0627\u062c\u0631\u0627 \u06a9\u0646\u06cc\u062f:<\/p>\n<pre><code class=\"hljs\">distances(:<span class=\"hljs-number\">3<\/span>), distances.shape\n<\/code><\/pre>\n<pre><code class=\"hljs\">(array(((0.        , 0.12998939, 0.15157687, 0.16543705, 0.17750354),\n        (0.        , 0.25535314, 0.37100754, 0.39090243, 0.40619693),\n        (0.        , 0.27149697, 0.28024623, 0.28112326, 0.30420656))),\n (3, 5))\n<\/code><\/pre>\n<p>\u062a\u0648\u062c\u0647 \u06a9\u0646\u06cc\u062f \u06a9\u0647 3 \u0631\u062f\u06cc\u0641 \u0628\u0627 5 \u0641\u0627\u0635\u0644\u0647 \u0648\u062c\u0648\u062f \u062f\u0627\u0631\u062f.  \u0647\u0645\u0686\u0646\u06cc\u0646 \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u06cc\u0645 \u0628\u0647 \u0646\u0645\u0627\u06cc\u0647\u200c\u0647\u0627\u06cc \u0647\u0645\u0633\u0627\u06cc\u06af\u0627\u0646 \u0646\u06af\u0627\u0647 \u06a9\u0646\u06cc\u0645:<\/p>\n<pre><code class=\"hljs\">indexes(:<span class=\"hljs-number\">3<\/span>), indexes(:<span class=\"hljs-number\">3<\/span>).shape\n<\/code><\/pre>\n<p>\u0627\u06cc\u0646 \u0646\u062a\u06cc\u062c\u0647 \u062f\u0631:<\/p>\n<pre><code class=\"hljs\">(array(((    0,  8608, 12831,  8298,  2482),\n        (    1,  4966,  5786,  8568,  6759),\n        (    2, 13326, 13936,  3618,  9756))),\n (3, 5))\n<\/code><\/pre>\n<p>\u062f\u0631 \u062e\u0631\u0648\u062c\u06cc \u0628\u0627\u0644\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u0634\u0627\u062e\u0635 \u0647\u0627\u06cc \u0647\u0631 \u06cc\u06a9 \u0627\u0632 5 \u0647\u0645\u0633\u0627\u06cc\u0647 \u0631\u0627 \u0645\u0634\u0627\u0647\u062f\u0647 \u06a9\u0646\u06cc\u0645.  \u0627\u06a9\u0646\u0648\u0646 \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u06cc\u0645 \u0628\u0647 \u0645\u062d\u0627\u0633\u0628\u0647 \u0645\u06cc\u0627\u0646\u06af\u06cc\u0646 5 \u0641\u0627\u0635\u0644\u0647 \u0627\u062f\u0627\u0645\u0647 \u062f\u0647\u06cc\u0645 \u0648 \u0646\u0645\u0648\u062f\u0627\u0631\u06cc \u0631\u0633\u0645 \u06a9\u0646\u06cc\u0645 \u06a9\u0647 \u0647\u0631 \u0631\u062f\u06cc\u0641 \u0631\u0627 \u0645\u06cc\u200c\u0634\u0645\u0627\u0631\u062f. \u0631\u0648\u06cc \u0645\u062d\u0648\u0631 X \u0648 \u0647\u0631 \u0645\u06cc\u0627\u0646\u06af\u06cc\u0646 \u0641\u0627\u0635\u0644\u0647 \u0631\u0627 \u0646\u0645\u0627\u06cc\u0634 \u0645\u06cc \u062f\u0647\u062f \u0631\u0648\u06cc \u0645\u062d\u0648\u0631 Y:<\/p>\n<pre><code class=\"hljs\">dist_means = distances.mean(axis=<span class=\"hljs-number\">1<\/span>)\nplt.plot(dist_means)\nplt.title(<span class=\"hljs-string\">'Mean of the 5 neighbors distances for each data point'<\/span>)\nplt.xlabel(<span class=\"hljs-string\">'Count'<\/span>)\nplt.ylabel(<span class=\"hljs-string\">'Mean Distances'<\/span>)\n<\/code><\/pre>\n<p><img decoding=\"async\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/k-nearest-neighbors-algorithm-python-scikit-learn-9.png\" alt=\"\" title=\"\"><\/p>\n<p>\u062a\u0648\u062c\u0647 \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u06cc\u062f \u06a9\u0647 \u0628\u062e\u0634\u06cc \u0627\u0632 \u0646\u0645\u0648\u062f\u0627\u0631 \u0648\u062c\u0648\u062f \u062f\u0627\u0631\u062f \u06a9\u0647 \u062f\u0631 \u0622\u0646 \u0641\u0627\u0635\u0644\u0647 \u0647\u0627\u06cc \u0645\u06cc\u0627\u0646\u06af\u06cc\u0646 \u062f\u0627\u0631\u0627\u06cc \u0645\u0642\u0627\u062f\u06cc\u0631 \u06cc\u06a9\u0646\u0648\u0627\u062e\u062a \u0647\u0633\u062a\u0646\u062f.  \u0622\u0646 \u0646\u0642\u0637\u0647 \u0645\u062d\u0648\u0631 Y \u06a9\u0647 \u062f\u0631 \u0622\u0646 \u0645\u06cc\u0627\u0646\u06af\u06cc\u0646 \u0647\u0627 \u062e\u06cc\u0644\u06cc \u0632\u06cc\u0627\u062f \u06cc\u0627 \u062e\u06cc\u0644\u06cc \u067e\u0627\u06cc\u06cc\u0646 \u0646\u06cc\u0633\u062a\u0646\u062f\u060c \u062f\u0642\u06cc\u0642\u0627\u064b \u0647\u0645\u0627\u0646 \u0646\u0642\u0637\u0647 \u0627\u06cc \u0627\u0633\u062a \u06a9\u0647 \u0628\u0631\u0627\u06cc \u0642\u0637\u0639 \u0645\u0642\u0627\u062f\u06cc\u0631 \u067e\u0631\u062a \u0628\u0627\u06cc\u062f \u0634\u0646\u0627\u0633\u0627\u06cc\u06cc \u06a9\u0646\u06cc\u0645.<\/p>\n<p>\u062f\u0631 \u0627\u06cc\u0646 \u0645\u0648\u0631\u062f\u060c \u062c\u0627\u06cc\u06cc \u0627\u0633\u062a \u06a9\u0647 \u0645\u06cc\u0627\u0646\u06af\u06cc\u0646 \u0641\u0627\u0635\u0644\u0647 3 \u0627\u0633\u062a. \u0628\u06cc\u0627\u06cc\u06cc\u062f \u062f\u0648\u0628\u0627\u0631\u0647 \u0646\u0645\u0648\u062f\u0627\u0631 \u0631\u0627 \u0628\u0627 \u06cc\u06a9 \u062e\u0637 \u0646\u0642\u0637\u0647 \u0686\u06cc\u0646 \u0627\u0641\u0642\u06cc \u0631\u0633\u0645 \u06a9\u0646\u06cc\u0645 \u062a\u0627 \u0628\u062a\u0648\u0627\u0646\u06cc\u0645 \u0622\u0646 \u0631\u0627 \u062a\u0634\u062e\u06cc\u0635 \u062f\u0647\u06cc\u0645:<\/p>\n<pre><code class=\"hljs\">dist_means = distances.mean(axis=<span class=\"hljs-number\">1<\/span>)\nplt.plot(dist_means)\nplt.title(<span class=\"hljs-string\">'Mean of the 5 neighbors distances for each data point with cut-off line'<\/span>)\nplt.xlabel(<span class=\"hljs-string\">'Count'<\/span>)\nplt.ylabel(<span class=\"hljs-string\">'Mean Distances'<\/span>)\nplt.axhline(y = <span class=\"hljs-number\">3<\/span>, color = <span class=\"hljs-string\">'r'<\/span>, linestyle = <span class=\"hljs-string\">'--'<\/span>)\n<\/code><\/pre>\n<p><img decoding=\"async\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/k-nearest-neighbors-algorithm-python-scikit-learn-10.png\" alt=\"\" title=\"\"><\/p>\n<p>\u0627\u06cc\u0646 \u062e\u0637 \u0645\u06cc\u0627\u0646\u06af\u06cc\u0646 \u0641\u0627\u0635\u0644\u0647 \u0627\u06cc \u0631\u0627 \u0646\u0634\u0627\u0646 \u0645\u06cc \u062f\u0647\u062f \u06a9\u0647 \u062f\u0631 \u0628\u0627\u0644\u0627\u06cc \u0622\u0646 \u0647\u0645\u0647 \u0645\u0642\u0627\u062f\u06cc\u0631 \u0645\u062a\u0641\u0627\u0648\u062a \u0627\u0633\u062a.  \u0627\u06cc\u0646 \u0628\u062f\u0627\u0646 \u0645\u0639\u0646\u06cc \u0627\u0633\u062a \u06a9\u0647 \u062a\u0645\u0627\u0645 \u0646\u0642\u0627\u0637 \u0628\u0627 a <code>mean<\/code> \u0641\u0627\u0635\u0644\u0647 \u0628\u0627\u0644\u0627 <code>3<\/code> \u067e\u0631\u062a \u0645\u0627 \u0647\u0633\u062a\u0646\u062f  \u0645\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0634\u0627\u062e\u0635 \u0647\u0627\u06cc \u0622\u0646 \u0646\u0642\u0627\u0637 \u0631\u0627 \u062f\u0631\u06cc\u0627\u0628\u06cc\u0645 <code>np.where()<\/code>.  \u0627\u06cc\u0646 \u0631\u0648\u0634 \u06cc\u0627 \u062e\u0631\u0648\u062c\u06cc \u062e\u0648\u0627\u0647\u062f \u062f\u0627\u0634\u062a <code>True<\/code> \u06cc\u0627 <code>False<\/code> \u0628\u0631\u0627\u06cc \u0647\u0631 \u0634\u0627\u062e\u0635 \u0628\u0627 \u062a\u0648\u062c\u0647 \u0628\u0647 <code>mean<\/code> <em>\u0628\u0627\u0644\u0627\u06cc 3<\/em> \u0648\u0636\u0639\u06cc\u062a:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">import<\/span> numpy <span class=\"hljs-keyword\">as<\/span> np\n\n\noutlier_index = np.where(dist_means &gt; <span class=\"hljs-number\">3<\/span>)\noutlier_index\n<\/code><\/pre>\n<p>\u062e\u0631\u0648\u062c\u06cc \u06a9\u062f \u0628\u0627\u0644\u0627:<\/p>\n<pre><code class=\"hljs\">(array((  564,  2167,  2415,  2902,  6607,  8047,  8243,  9029, 11892,\n        12127, 12226, 12353, 13534, 13795, 14292, 14707)),)\n<\/code><\/pre>\n<p>\u0627\u06a9\u0646\u0648\u0646 \u0645\u0627 \u0634\u0627\u062e\u0635 \u0647\u0627\u06cc \u0646\u0642\u0637\u0647 \u067e\u0631\u062a \u062e\u0648\u062f \u0631\u0627 \u062f\u0627\u0631\u06cc\u0645.  \u0628\u06cc\u0627\u06cc\u06cc\u062f \u0622\u0646\u0647\u0627 \u0631\u0627 \u062f\u0631 \u0686\u0627\u0631\u0686\u0648\u0628 \u062f\u0627\u062f\u0647 \u067e\u06cc\u062f\u0627 \u06a9\u0646\u06cc\u0645:<\/p>\n<pre><code class=\"hljs\">\noutlier_values = df.iloc(outlier_index)\noutlier_values\n<\/code><\/pre>\n<p>\u0627\u06cc\u0646 \u0646\u062a\u06cc\u062c\u0647 \u062f\u0631:<\/p>\n<pre><code class=\"hljs\">        MedInc \tHouseAge AveRooms \tAveBedrms \tPopulation \tAveOccup \tLatitude \tLongitude \tMedHouseVal\n564 \t4.8711 \t27.0 \t 5.082811 \t0.944793 \t1499.0 \t    1.880803 \t37.75 \t\t-122.24 \t2.86600\n2167 \t2.8359 \t30.0 \t 4.948357 \t1.001565 \t1660.0 \t    2.597809 \t36.78 \t\t-119.83 \t0.80300\n2415 \t2.8250 \t32.0 \t 4.784232 \t0.979253 \t761.0 \t    3.157676 \t36.59 \t\t-119.44 \t0.67600\n2902 \t1.1875 \t48.0 \t 5.492063 \t1.460317 \t129.0 \t    2.047619 \t35.38 \t\t-119.02 \t0.63800\n6607 \t3.5164 \t47.0 \t 5.970639 \t1.074266 \t1700.0 \t    2.936097 \t34.18 \t\t-118.14 \t2.26500\n8047 \t2.7260 \t29.0 \t 3.707547 \t1.078616 \t2515.0 \t    1.977201 \t33.84 \t\t-118.17 \t2.08700\n8243 \t2.0769 \t17.0 \t 3.941667 \t1.211111 \t1300.0 \t    3.611111 \t33.78 \t\t-118.18 \t1.00000\n9029 \t6.8300 \t28.0 \t 6.748744 \t1.080402 \t487.0 \t\t2.447236 \t34.05 \t\t-118.78 \t5.00001\n11892 \t2.6071 \t45.0 \t 4.225806 \t0.903226 \t89.0 \t\t2.870968 \t33.99 \t\t-117.35 \t1.12500\n12127 \t4.1482 \t7.0 \t 5.674957 \t1.106998 \t5595.0 \t\t3.235975 \t33.92 \t\t-117.25 \t1.24600\n12226 \t2.8125 \t18.0 \t 4.962500 \t1.112500 \t239.0 \t\t2.987500 \t33.63 \t\t-116.92 \t1.43800\n12353 \t3.1493 \t24.0 \t 7.307323 \t1.460984 \t1721.0 \t\t2.066026 \t33.81 \t\t-116.54 \t1.99400\n13534 \t3.7949 \t13.0 \t 5.832258 \t1.072581 \t2189.0 \t\t3.530645 \t34.17 \t\t-117.33 \t1.06300\n13795 \t1.7567 \t8.0 \t 4.485173 \t1.120264 \t3220.0 \t\t2.652389 \t34.59 \t\t-117.42 \t0.69500\n14292 \t2.6250 \t50.0 \t 4.742236 \t1.049689 \t728.0 \t\t2.260870 \t32.74 \t\t-117.13 \t2.03200\n14707 \t3.7167 \t17.0 \t 5.034130 \t1.051195 \t549.0 \t\t1.873720 \t32.80 \t\t-117.05 \t1.80400\n<\/code><\/pre>\n<p>\u062a\u0634\u062e\u06cc\u0635 \u0645\u0627 \u0628\u0647 \u067e\u0627\u06cc\u0627\u0646 \u0631\u0633\u06cc\u062f\u0647 \u0627\u0633\u062a.  \u0627\u06cc\u0646\u06af\u0648\u0646\u0647 \u0627\u0633\u062a \u06a9\u0647 \u0645\u0627 \u0647\u0631 \u0646\u0642\u0637\u0647 \u062f\u0627\u062f\u0647 \u0627\u06cc \u0631\u0627 \u06a9\u0647 \u0627\u0632 \u0631\u0648\u0646\u062f \u06a9\u0644\u06cc \u062f\u0627\u062f\u0647 \u0645\u0646\u062d\u0631\u0641 \u0645\u06cc \u0634\u0648\u062f\u060c \u062a\u0634\u062e\u06cc\u0635 \u0645\u06cc \u062f\u0647\u06cc\u0645.  \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u06cc\u0645 \u0628\u0628\u06cc\u0646\u06cc\u0645 \u06a9\u0647 16 \u0646\u0642\u0637\u0647 \u062f\u0631 \u062f\u0627\u062f\u0647\u200c\u0647\u0627\u06cc \u0642\u0637\u0627\u0631 \u0645\u0627 \u0648\u062c\u0648\u062f \u062f\u0627\u0631\u062f \u06a9\u0647 \u0628\u0627\u06cc\u062f \u0628\u06cc\u0634\u062a\u0631 \u0645\u0648\u0631\u062f \u0628\u0631\u0631\u0633\u06cc\u060c \u0628\u0631\u0631\u0633\u06cc\u060c \u0634\u0627\u06cc\u062f \u062f\u0631\u0645\u0627\u0646 \u06cc\u0627 \u062d\u062a\u06cc \u062d\u0630\u0641 \u0627\u0632 \u062f\u0627\u062f\u0647\u200c\u0647\u0627\u06cc \u0645\u0627 (\u0627\u06af\u0631 \u0628\u0647 \u0627\u0634\u062a\u0628\u0627\u0647 \u0648\u0627\u0631\u062f \u0634\u062f\u0647 \u0628\u0627\u0634\u0646\u062f) \u0628\u0631\u0627\u06cc \u0628\u0647\u0628\u0648\u062f \u0646\u062a\u0627\u06cc\u062c \u0627\u0633\u062a.  \u0627\u06cc\u0646 \u0646\u0642\u0627\u0637 \u0645\u0645\u06a9\u0646 \u0627\u0633\u062a \u0646\u0627\u0634\u06cc \u0627\u0632 \u0627\u0634\u062a\u0628\u0627\u0647\u0627\u062a \u062a\u0627\u06cc\u067e\u06cc\u060c \u0646\u0627\u0647\u0645\u0627\u0647\u0646\u06af\u06cc \u0645\u0642\u0627\u062f\u06cc\u0631 \u0645\u06cc\u0627\u0646\u06af\u06cc\u0646 \u0628\u0644\u0648\u06a9 \u06cc\u0627 \u062d\u062a\u06cc \u0647\u0631 \u062f\u0648 \u0628\u0627\u0634\u062f.<\/p>\n<h2 id=\"prosandconsofknn\"><span class=\"ez-toc-section\" id=\"%d9%85%d8%b2%d8%a7%db%8c%d8%a7_%d9%88_%d9%85%d8%b9%d8%a7%db%8c%d8%a8_knn\"><\/span>\u0645\u0632\u0627\u06cc\u0627 \u0648 \u0645\u0639\u0627\u06cc\u0628 KNN<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u062f\u0631 \u0627\u06cc\u0646 \u0628\u062e\u0634\u060c \u0628\u0631\u062e\u06cc \u0627\u0632 \u0645\u0632\u0627\u06cc\u0627 \u0648 \u0645\u0639\u0627\u06cc\u0628 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 KNN \u0631\u0627 \u0627\u0631\u0627\u0626\u0647 \u062e\u0648\u0627\u0647\u06cc\u0645 \u06a9\u0631\u062f.<\/p>\n<h3 id=\"pros\"><span class=\"ez-toc-section\" id=\"%d8%b7%d8%b1%d9%81%d8%af%d8%a7%d8%b1%d8%a7%d9%86\"><\/span>\u0637\u0631\u0641\u062f\u0627\u0631\u0627\u0646<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<ul>\n<li>\u0627\u062c\u0631\u0627\u06cc \u0622\u0646 \u0622\u0633\u0627\u0646 \u0627\u0633\u062a<\/li>\n<li>\u0627\u06cc\u0646 \u06cc\u06a9 \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u062a\u0646\u0628\u0644 \u0627\u0633\u062a \u0648 \u0628\u0646\u0627\u0628\u0631\u0627\u06cc\u0646 \u0646\u06cc\u0627\u0632\u06cc \u0628\u0647 \u0622\u0645\u0648\u0632\u0634 \u0646\u062f\u0627\u0631\u062f \u0631\u0648\u06cc \u062a\u0645\u0627\u0645 \u0646\u0642\u0627\u0637 \u062f\u0627\u062f\u0647 (\u0641\u0642\u0637 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 K-Nearest \u0647\u0645\u0633\u0627\u06cc\u06af\u0627\u0646 \u0628\u0631\u0627\u06cc \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc).  \u0627\u06cc\u0646 \u0628\u0627\u0639\u062b \u0645\u06cc \u0634\u0648\u062f \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 KNN \u0628\u0633\u06cc\u0627\u0631 \u0633\u0631\u06cc\u0639\u062a\u0631 \u0627\u0632 \u0633\u0627\u06cc\u0631 \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u0647\u0627\u06cc\u06cc \u0628\u0627\u0634\u062f \u06a9\u0647 \u0646\u06cc\u0627\u0632 \u0628\u0647 \u0622\u0645\u0648\u0632\u0634 \u0628\u0627 \u06a9\u0644 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0645\u0627\u0646\u0646\u062f \u0645\u0627\u0634\u06cc\u0646 \u0647\u0627\u06cc \u0628\u0631\u062f\u0627\u0631 \u067e\u0634\u062a\u06cc\u0628\u0627\u0646\u06cc\u060c \u0631\u06af\u0631\u0633\u06cc\u0648\u0646 \u062e\u0637\u06cc \u0648 \u063a\u06cc\u0631\u0647 \u062f\u0627\u0631\u0646\u062f.<\/li>\n<li>\u0627\u0632 \u0622\u0646\u062c\u0627\u06cc\u06cc \u06a9\u0647 KNN \u0642\u0628\u0644 \u0627\u0632 \u0627\u0646\u062c\u0627\u0645 \u067e\u06cc\u0634\u200c\u0628\u06cc\u0646\u06cc \u0646\u06cc\u0627\u0632\u06cc \u0628\u0647 \u0622\u0645\u0648\u0632\u0634 \u0646\u062f\u0627\u0631\u062f\u060c \u0645\u06cc\u200c\u062a\u0648\u0627\u0646 \u062f\u0627\u062f\u0647\u200c\u0647\u0627\u06cc \u062c\u062f\u06cc\u062f \u0631\u0627 \u0628\u0647\u200c\u0637\u0648\u0631 \u06cc\u06a9\u067e\u0627\u0631\u0686\u0647 \u0627\u0636\u0627\u0641\u0647 \u06a9\u0631\u062f<\/li>\n<li>\u0628\u0631\u0627\u06cc \u06a9\u0627\u0631 \u0628\u0627 KNN \u0641\u0642\u0637 \u062f\u0648 \u067e\u0627\u0631\u0627\u0645\u062a\u0631 \u0644\u0627\u0632\u0645 \u0627\u0633\u062a\u060c \u06cc\u0639\u0646\u06cc \u0645\u0642\u062f\u0627\u0631 K \u0648 \u062a\u0627\u0628\u0639 \u0641\u0627\u0635\u0644\u0647<\/li>\n<\/ul>\n<h3 id=\"cons\"><span class=\"ez-toc-section\" id=\"%d9%85%d9%86%d9%81%db%8c\"><\/span>\u0645\u0646\u0641\u06cc<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<ul>\n<li>\u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 KNN \u0628\u0627 \u062f\u0627\u062f\u0647\u200c\u0647\u0627\u06cc \u0627\u0628\u0639\u0627\u062f\u06cc \u0628\u0627\u0644\u0627 \u0628\u0647 \u062e\u0648\u0628\u06cc \u06a9\u0627\u0631 \u0646\u0645\u06cc\u200c\u06a9\u0646\u062f\u060c \u0632\u06cc\u0631\u0627 \u0628\u0627 \u062a\u0639\u062f\u0627\u062f \u0627\u0628\u0639\u0627\u062f \u0632\u06cc\u0627\u062f\u060c \u0641\u0627\u0635\u0644\u0647 \u0628\u06cc\u0646 \u0646\u0642\u0627\u0637 &#8220;\u0639\u062c\u06cc\u0628&#8221; \u0645\u06cc\u200c\u0634\u0648\u062f \u0648 \u0645\u0639\u06cc\u0627\u0631\u0647\u0627\u06cc \u0641\u0627\u0635\u0644\u0647\u200c\u0627\u06cc \u06a9\u0647 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc\u200c\u06a9\u0646\u06cc\u0645 \u062b\u0627\u0628\u062a \u0646\u0645\u06cc\u200c\u0645\u0627\u0646\u0646\u062f.<\/li>\n<li>\u062f\u0631 \u0646\u0647\u0627\u06cc\u062a\u060c \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 KNN \u0628\u0627 \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u0628\u0647 \u062e\u0648\u0628\u06cc \u06a9\u0627\u0631 \u0646\u0645\u06cc \u06a9\u0646\u062f \u0632\u06cc\u0631\u0627 \u06cc\u0627\u0641\u062a\u0646 \u0641\u0627\u0635\u0644\u0647 \u0628\u06cc\u0646 \u0627\u0628\u0639\u0627\u062f \u0628\u0627 \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u062f\u0634\u0648\u0627\u0631 \u0627\u0633\u062a.<\/li>\n<\/ul>\n<h2 id=\"conclusion\"><span class=\"ez-toc-section\" id=\"%d9%86%d8%aa%db%8c%d8%ac%d9%87\"><\/span>\u0646\u062a\u06cc\u062c\u0647<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>KNN \u06cc\u06a9 \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u0633\u0627\u062f\u0647 \u0648 \u062f\u0631 \u0639\u06cc\u0646 \u062d\u0627\u0644 \u0642\u062f\u0631\u062a\u0645\u0646\u062f \u0627\u0633\u062a.  \u0645\u06cc \u062a\u0648\u0627\u0646 \u0627\u0632 \u0622\u0646 \u0628\u0631\u0627\u06cc \u0628\u0633\u06cc\u0627\u0631\u06cc \u0627\u0632 \u0648\u0638\u0627\u06cc\u0641 \u0645\u0627\u0646\u0646\u062f \u0631\u06af\u0631\u0633\u06cc\u0648\u0646\u060c \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc\u060c \u06cc\u0627 \u062a\u0634\u062e\u06cc\u0635 \u067e\u0631\u062a \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0631\u062f.<\/p>\n<p>KNN \u0628\u0647 \u0637\u0648\u0631 \u06af\u0633\u062a\u0631\u062f\u0647 \u0628\u0631\u0627\u06cc \u06cc\u0627\u0641\u062a\u0646 \u0634\u0628\u0627\u0647\u062a \u0627\u0633\u0646\u0627\u062f \u0648 \u062a\u0634\u062e\u06cc\u0635 \u0627\u0644\u06af\u0648 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0634\u062f\u0647 \u0627\u0633\u062a.  \u0647\u0645\u0686\u0646\u06cc\u0646 \u0628\u0631\u0627\u06cc \u062a\u0648\u0633\u0639\u0647 \u0633\u06cc\u0633\u062a\u0645\u200c\u0647\u0627\u06cc \u062a\u0648\u0635\u06cc\u0647\u200c\u06af\u0631 \u0648 \u0628\u0631\u0627\u06cc \u06a9\u0627\u0647\u0634 \u0627\u0628\u0639\u0627\u062f \u0648 \u0645\u0631\u0627\u062d\u0644 \u067e\u06cc\u0634 \u067e\u0631\u062f\u0627\u0632\u0634 \u0628\u0631\u0627\u06cc \u0628\u06cc\u0646\u0627\u06cc\u06cc \u06a9\u0627\u0645\u067e\u06cc\u0648\u062a\u0631 &#8211; \u0628\u0647\u200c\u0648\u06cc\u0698\u0647 \u0648\u0638\u0627\u06cc\u0641 \u062a\u0634\u062e\u06cc\u0635 \u0686\u0647\u0631\u0647\u060c \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0634\u062f\u0647 \u0627\u0633\u062a.<\/p>\n<p>\u062f\u0631 \u0627\u06cc\u0646 \u0631\u0627\u0647\u0646\u0645\u0627 &#8211; \u0645\u0627 \u0627\u0632 \u0637\u0631\u06cc\u0642 \u0631\u06af\u0631\u0633\u06cc\u0648\u0646\u060c \u0637\u0628\u0642\u0647\u200c\u0628\u0646\u062f\u06cc \u0648 \u062a\u0634\u062e\u06cc\u0635 \u0646\u0642\u0627\u0637 \u067e\u0631\u062a \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u067e\u06cc\u0627\u062f\u0647\u200c\u0633\u0627\u0632\u06cc Scikit-Learn \u0627\u0632 \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 K-Nearest Neighbor \u0639\u0628\u0648\u0631 \u06a9\u0631\u062f\u0647\u200c\u0627\u06cc\u0645.<\/p>\n<\/div>\n<p><script>\n                        !function(f,b,e,v,n,t,s)\n                        {if(f.fbq)return;n=f.fbq=function(){n.callMethod?\n                        n.callMethod.apply(n,arguments):n.queue.push(arguments)};\n                        if(!f._fbq)f._fbq=n;n.push=n;n.loaded=!0;n.version='2.0';\n                        n.queue=();t=b.createElement(e);t.async=!0;\n                        t.src=v;s=b.getElementsByTagName(e)(0);\n                        s.parentNode.insertBefore(t,s)}(window, document,'script',\n                        'https:\/\/connect.facebook.net\/en_US\/fbevents.js');\n                        fbq('init', '525232124909042');\n                        fbq('track', 'PageView');\n                    <\/script>    (\u0628\u0631\u0686\u0633\u0628\u200c\u0647\u0627 \u0628\u0647 \u062a\u0631\u062c\u0645\u0647)# python<br \/>\n<br \/><br \/>\n<br \/>\u0645\u0646\u062a\u0634\u0631 \u0634\u062f\u0647 \u062f\u0631 1403-01-04 02:19:03<br \/>\n<\/p>\n\n\n<div class=\"kk-star-ratings kksr-auto kksr-align-center kksr-valign-bottom\"\n    data-payload='{&quot;align&quot;:&quot;center&quot;,&quot;id&quot;:&quot;14088&quot;,&quot;slug&quot;:&quot;default&quot;,&quot;valign&quot;:&quot;bottom&quot;,&quot;ignore&quot;:&quot;&quot;,&quot;reference&quot;:&quot;auto&quot;,&quot;class&quot;:&quot;&quot;,&quot;count&quot;:&quot;0&quot;,&quot;legendonly&quot;:&quot;&quot;,&quot;readonly&quot;:&quot;&quot;,&quot;score&quot;:&quot;0&quot;,&quot;starsonly&quot;:&quot;&quot;,&quot;best&quot;:&quot;5&quot;,&quot;gap&quot;:&quot;5&quot;,&quot;greet&quot;:&quot;\u0627\u0645\u062a\u06cc\u0627\u0632 \u0634\u0645\u0627 \u0628\u0647 \u0627\u06cc\u0646 \u0645\u0637\u0644\u0628&quot;,&quot;legend&quot;:&quot;0\\\/5 (0 \u0631\u0627\u06cc)&quot;,&quot;size&quot;:&quot;30&quot;,&quot;title&quot;:&quot;\u0631\u0627\u0647\u0646\u0645\u0627\u06cc \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 K-Nearest Neighbors \u062f\u0631 Python \u0648 Scikit-Learn&quot;,&quot;width&quot;:&quot;0&quot;,&quot;_legend&quot;:&quot;{score}\\\/{best} ({count} \u0631\u0627\u06cc)&quot;,&quot;font_factor&quot;:&quot;1.25&quot;}'>\n            \n<div class=\"kksr-stars\">\n    \n<div class=\"kksr-stars-inactive\">\n            <div class=\"kksr-star\" data-star=\"1\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 30px; height: 30px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" data-star=\"2\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 30px; height: 30px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" data-star=\"3\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 30px; height: 30px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" data-star=\"4\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 30px; height: 30px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" data-star=\"5\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 30px; height: 30px;\"><\/div>\n        <\/div>\n    <\/div>\n    \n<div class=\"kksr-stars-active\" style=\"width: 0px;\">\n            <div class=\"kksr-star\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 30px; height: 30px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 30px; height: 30px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 30px; height: 30px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 30px; height: 30px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 30px; height: 30px;\"><\/div>\n        <\/div>\n    <\/div>\n<\/div>\n                \n\n<div class=\"kksr-legend\" style=\"font-size: 24px;\">\n            <span class=\"kksr-muted\">\u0627\u0645\u062a\u06cc\u0627\u0632 \u0634\u0645\u0627 \u0628\u0647 \u0627\u06cc\u0646 \u0645\u0637\u0644\u0628<\/span>\n    <\/div>\n    <\/div>\n","protected":false},"excerpt":{"rendered":"<p><span class=\"span-reading-time rt-reading-time\" style=\"display: block;\"><span class=\"rt-label rt-prefix\">\u0632\u0645\u0627\u0646 \u0644\u0627\u0632\u0645 \u0628\u0631\u0627\u06cc \u0645\u0637\u0627\u0644\u0639\u0647: <\/span> <span class=\"rt-time\"> 24<\/span> <span class=\"rt-label rt-postfix\">\u062f\u0642\u06cc\u0642\u0647<\/span><\/span>\u0645\u0639\u0631\u0641\u06cc \u0627\u06cc\u0646 K-\u0646\u0632\u062f\u06cc\u06a9\u062a\u0631\u06cc\u0646 \u0647\u0645\u0633\u0627\u06cc\u0647 (KNN) \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u0646\u0648\u0639\u06cc \u0627\u0632 \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646\u06cc \u0646\u0638\u0627\u0631\u062a \u0634\u062f\u0647 \u0627\u0633\u062a \u06a9\u0647 \u0628\u0631\u0627\u06cc \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc\u060c \u0631\u06af\u0631\u0633\u06cc\u0648\u0646 \u0648 \u0647\u0645\u0686\u0646\u06cc\u0646 \u062a\u0634\u062e\u06cc\u0635 \u0645\u0648\u0627\u0631\u062f \u062f\u0648\u0631 \u0627\u0632 \u062f\u0633\u062a\u0631\u0633 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u0634\u0648\u062f. \u0627\u062c\u0631\u0627\u06cc \u0622\u0646 \u062f\u0631 \u0627\u0628\u062a\u062f\u0627\u06cc\u06cc \u062a\u0631\u06cc\u0646 \u0634\u06a9\u0644 \u0622\u0646 \u0628\u0633\u06cc\u0627\u0631 \u0622\u0633\u0627\u0646 \u0627\u0633\u062a \u0627\u0645\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646\u062f \u06a9\u0627\u0631\u0647\u0627\u06cc \u0646\u0633\u0628\u062a\u0627\u064b \u067e\u06cc\u0686\u06cc\u062f\u0647 \u0627\u06cc \u0631\u0627 \u0627\u0646\u062c\u0627\u0645 \u062f\u0647\u062f. \u0627\u06cc\u0646 \u06cc\u06a9 \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u062a\u0646\u0628\u0644 \u0627\u0633\u062a [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":14089,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1743,620],"tags":[],"class_list":["post-14088","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-python","category-programming"],"acf":[],"_links":{"self":[{"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/posts\/14088","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/comments?post=14088"}],"version-history":[{"count":0,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/posts\/14088\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/media\/14089"}],"wp:attachment":[{"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/media?parent=14088"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/categories?post=14088"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/tags?post=14088"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}