{"id":15913,"date":"2024-01-18T14:30:07","date_gmt":"2024-01-18T11:00:07","guid":{"rendered":"https:\/\/rasanegar.com\/blog\/%d8%af%d8%b3%d8%aa%d9%87-%d8%a8%d9%86%d8%af%db%8c-%da%af%d8%b1%d9%88%d9%87-%d8%b1%d8%a7%db%8c-%da%af%db%8c%d8%b1%db%8c-%d8%af%d8%b1-%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86-%d8%a8%d8%a7-scikit-learn\/"},"modified":"2024-01-18T14:30:07","modified_gmt":"2024-01-18T11:00:07","slug":"%d8%af%d8%b3%d8%aa%d9%87-%d8%a8%d9%86%d8%af%db%8c-%da%af%d8%b1%d9%88%d9%87-%d8%b1%d8%a7%db%8c-%da%af%db%8c%d8%b1%db%8c-%d8%af%d8%b1-%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86-%d8%a8%d8%a7-scikit-learn","status":"publish","type":"post","link":"https:\/\/rasanegaar.com\/blog\/%d8%af%d8%b3%d8%aa%d9%87-%d8%a8%d9%86%d8%af%db%8c-%da%af%d8%b1%d9%88%d9%87-%d8%b1%d8%a7%db%8c-%da%af%db%8c%d8%b1%db%8c-%d8%af%d8%b1-%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86-%d8%a8%d8%a7-scikit-learn\/","title":{"rendered":"\u062f\u0633\u062a\u0647 \u0628\u0646\u062f\u06cc \u06af\u0631\u0648\u0647\/\u0631\u0627\u06cc \u06af\u06cc\u0631\u06cc \u062f\u0631 \u067e\u0627\u06cc\u062a\u0648\u0646 \u0628\u0627 Scikit-Learn"},"content":{"rendered":"<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_85 counter-hierarchy ez-toc-counter ez-toc-custom ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\"><p class=\"ez-toc-title\" style=\"cursor:inherit\">\u0633\u0631\u0641\u0635\u0644\u0647\u0627\u06cc \u0645\u0637\u0644\u0628<\/p>\n<\/div><nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%af%d8%b3%d8%aa%d9%87-%d8%a8%d9%86%d8%af%db%8c-%da%af%d8%b1%d9%88%d9%87-%d8%b1%d8%a7%db%8c-%da%af%db%8c%d8%b1%db%8c-%d8%af%d8%b1-%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86-%d8%a8%d8%a7-scikit-learn\/#%d9%85%d8%b9%d8%b1%d9%81%db%8c\" >\u0645\u0639\u0631\u0641\u06cc<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%af%d8%b3%d8%aa%d9%87-%d8%a8%d9%86%d8%af%db%8c-%da%af%d8%b1%d9%88%d9%87-%d8%b1%d8%a7%db%8c-%da%af%db%8c%d8%b1%db%8c-%d8%af%d8%b1-%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86-%d8%a8%d8%a7-scikit-learn\/#%d9%85%d8%af%d9%84_%d9%87%d8%a7%db%8c_%da%af%d8%b1%d9%88%d9%87%db%8c_%d8%af%d8%b1_%db%8c%d8%a7%d8%af%da%af%db%8c%d8%b1%db%8c_%d9%85%d8%a7%d8%b4%db%8c%d9%86%db%8c_%da%86%db%8c%d8%b3%d8%aa%d8%9f\" >\u0645\u062f\u0644 \u0647\u0627\u06cc \u06af\u0631\u0648\u0647\u06cc \u062f\u0631 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646\u06cc \u0686\u06cc\u0633\u062a\u061f<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%af%d8%b3%d8%aa%d9%87-%d8%a8%d9%86%d8%af%db%8c-%da%af%d8%b1%d9%88%d9%87-%d8%b1%d8%a7%db%8c-%da%af%db%8c%d8%b1%db%8c-%d8%af%d8%b1-%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86-%d8%a8%d8%a7-scikit-learn\/#%d8%b1%d9%88%d8%b4_%d9%87%d8%a7%db%8c_%d9%85%d8%ae%d8%aa%d9%84%d9%81_%d8%b7%d8%a8%d9%82%d9%87_%d8%a8%d9%86%d8%af%db%8c_%da%af%d8%b1%d9%88%d9%87\" >\u0631\u0648\u0634 \u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641 \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u06af\u0631\u0648\u0647<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%af%d8%b3%d8%aa%d9%87-%d8%a8%d9%86%d8%af%db%8c-%da%af%d8%b1%d9%88%d9%87-%d8%b1%d8%a7%db%8c-%da%af%db%8c%d8%b1%db%8c-%d8%af%d8%b1-%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86-%d8%a8%d8%a7-scikit-learn\/#%da%a9%d9%88%d9%84%d9%87_%d8%a8%d8%b1%db%8c\" >\u06a9\u0648\u0644\u0647 \u0628\u0631\u06cc<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%af%d8%b3%d8%aa%d9%87-%d8%a8%d9%86%d8%af%db%8c-%da%af%d8%b1%d9%88%d9%87-%d8%b1%d8%a7%db%8c-%da%af%db%8c%d8%b1%db%8c-%d8%af%d8%b1-%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86-%d8%a8%d8%a7-scikit-learn\/#%d8%a7%d9%81%d8%b2%d8%a7%db%8c%d8%b4\" >\u0627\u0641\u0632\u0627\u06cc\u0634<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%af%d8%b3%d8%aa%d9%87-%d8%a8%d9%86%d8%af%db%8c-%da%af%d8%b1%d9%88%d9%87-%d8%b1%d8%a7%db%8c-%da%af%db%8c%d8%b1%db%8c-%d8%af%d8%b1-%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86-%d8%a8%d8%a7-scikit-learn\/#%d9%be%d8%b4%d8%aa%d9%87%d8%b3%d8%a7%d8%b2%db%8c\" >\u067e\u0634\u062a\u0647\u0633\u0627\u0632\u06cc<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%af%d8%b3%d8%aa%d9%87-%d8%a8%d9%86%d8%af%db%8c-%da%af%d8%b1%d9%88%d9%87-%d8%b1%d8%a7%db%8c-%da%af%db%8c%d8%b1%db%8c-%d8%af%d8%b1-%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86-%d8%a8%d8%a7-scikit-learn\/#%d9%86%d9%85%d9%88%d9%86%d9%87_%d8%a7%d8%ac%d8%b1%d8%a7%d9%87%d8%a7\" >\u0646\u0645\u0648\u0646\u0647 \u0627\u062c\u0631\u0627\u0647\u0627<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%af%d8%b3%d8%aa%d9%87-%d8%a8%d9%86%d8%af%db%8c-%da%af%d8%b1%d9%88%d9%87-%d8%b1%d8%a7%db%8c-%da%af%db%8c%d8%b1%db%8c-%d8%af%d8%b1-%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86-%d8%a8%d8%a7-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\" >\u067e\u06cc\u0634 \u067e\u0631\u062f\u0627\u0632\u0634 \u062f\u0627\u062f\u0647 \u0647\u0627<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%af%d8%b3%d8%aa%d9%87-%d8%a8%d9%86%d8%af%db%8c-%da%af%d8%b1%d9%88%d9%87-%d8%b1%d8%a7%db%8c-%da%af%db%8c%d8%b1%db%8c-%d8%af%d8%b1-%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86-%d8%a8%d8%a7-scikit-learn\/#%d8%b1%d9%88%d8%b4_%d9%85%db%8c%d8%a7%d9%86%da%af%db%8c%d9%86_%da%af%db%8c%d8%b1%db%8c_%d8%b3%d8%a7%d8%af%d9%87\" >\u0631\u0648\u0634 \u0645\u06cc\u0627\u0646\u06af\u06cc\u0646 \u06af\u06cc\u0631\u06cc \u0633\u0627\u062f\u0647<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-10\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%af%d8%b3%d8%aa%d9%87-%d8%a8%d9%86%d8%af%db%8c-%da%af%d8%b1%d9%88%d9%87-%d8%b1%d8%a7%db%8c-%da%af%db%8c%d8%b1%db%8c-%d8%af%d8%b1-%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86-%d8%a8%d8%a7-scikit-learn\/#%d9%85%d8%ab%d8%a7%d9%84_%d8%b7%d8%a8%d9%82%d9%87_%d8%a8%d9%86%d8%af%db%8c_votingstacking\" >\u0645\u062b\u0627\u0644 \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc Voting\\Stacking<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-11\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%af%d8%b3%d8%aa%d9%87-%d8%a8%d9%86%d8%af%db%8c-%da%af%d8%b1%d9%88%d9%87-%d8%b1%d8%a7%db%8c-%da%af%db%8c%d8%b1%db%8c-%d8%af%d8%b1-%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86-%d8%a8%d8%a7-scikit-learn\/#%d9%86%d9%85%d9%88%d9%86%d9%87_%d8%b7%d8%a8%d9%82%d9%87_%d8%a8%d9%86%d8%af%db%8c_%da%a9%db%8c%d8%b3%d9%87\" >\u0646\u0645\u0648\u0646\u0647 \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u06a9\u06cc\u0633\u0647<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-12\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%af%d8%b3%d8%aa%d9%87-%d8%a8%d9%86%d8%af%db%8c-%da%af%d8%b1%d9%88%d9%87-%d8%b1%d8%a7%db%8c-%da%af%db%8c%d8%b1%db%8c-%d8%af%d8%b1-%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86-%d8%a8%d8%a7-scikit-learn\/#%d9%85%d8%ab%d8%a7%d9%84_%d8%aa%d9%82%d9%88%db%8c%d8%aa_%d8%b7%d8%a8%d9%82%d9%87_%d8%a8%d9%86%d8%af%db%8c\" >\u0645\u062b\u0627\u0644 \u062a\u0642\u0648\u06cc\u062a \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-13\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%af%d8%b3%d8%aa%d9%87-%d8%a8%d9%86%d8%af%db%8c-%da%af%d8%b1%d9%88%d9%87-%d8%b1%d8%a7%db%8c-%da%af%db%8c%d8%b1%db%8c-%d8%af%d8%b1-%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86-%d8%a8%d8%a7-scikit-learn\/#%d8%ac%d9%85%d8%b9_%d8%a8%d9%86%d8%af%db%8c\" >\u062c\u0645\u0639 \u0628\u0646\u062f\u06cc<\/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\"> 8<\/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><a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/scikit-learn.org\/stable\/modules\/ensemble.html\">\u0645\u062f\u0644 \u0647\u0627\u06cc \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u0645\u062c\u0645\u0648\u0639\u0647<\/a> \u0645\u06cc \u062a\u0648\u0627\u0646\u0646\u062f \u0627\u0628\u0632\u0627\u0631\u0647\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646\u06cc \u0642\u062f\u0631\u062a\u0645\u0646\u062f\u06cc 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\u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u062f \u062e\u0637\u0627\u0647\u0627\u06cc \u0627\u06cc\u062c\u0627\u062f \u0634\u062f\u0647 \u062a\u0648\u0633\u0637 \u0647\u0631 \u0637\u0628\u0642\u0647\u200c\u0628\u0646\u062f\u06cc\u200c\u06a9\u0646\u0646\u062f\u0647 \u0631\u0627 \u062a\u0635\u062d\u06cc\u062d \u06a9\u0646\u062f \u0648 \u0628\u0647 \u0637\u0648\u0631 \u06a9\u0644\u06cc \u0628\u0647 \u062f\u0642\u062a \u0628\u0647\u062a\u0631\u06cc \u0645\u0646\u062c\u0631 \u0634\u0648\u062f.  \u0628\u06cc\u0627\u06cc\u06cc\u062f \u0646\u06af\u0627\u0647\u06cc \u0628\u0647 \u0631\u0648\u0634\u200c\u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641 \u0637\u0628\u0642\u0647\u200c\u0628\u0646\u062f\u06cc \u06af\u0631\u0648\u0647 \u0628\u06cc\u0646\u062f\u0627\u0632\u06cc\u0645 \u0648 \u0628\u0628\u06cc\u0646\u06cc\u0645 \u0686\u06af\u0648\u0646\u0647 \u0645\u06cc\u200c\u062a\u0648\u0627\u0646 \u0627\u06cc\u0646 \u0637\u0628\u0642\u0647\u200c\u0628\u0646\u062f\u06cc\u200c\u06a9\u0646\u0646\u062f\u0647\u200c\u0647\u0627 \u0631\u0627 \u062f\u0631 Scikit-Learn \u067e\u06cc\u0627\u062f\u0647\u200c\u0633\u0627\u0632\u06cc \u06a9\u0631\u062f.<\/p>\n<h2 id=\"whatareensemblemodelsinmachinelearning\"><span class=\"ez-toc-section\" id=\"%d9%85%d8%af%d9%84_%d9%87%d8%a7%db%8c_%da%af%d8%b1%d9%88%d9%87%db%8c_%d8%af%d8%b1_%db%8c%d8%a7%d8%af%da%af%db%8c%d8%b1%db%8c_%d9%85%d8%a7%d8%b4%db%8c%d9%86%db%8c_%da%86%db%8c%d8%b3%d8%aa%d8%9f\"><\/span>\u0645\u062f\u0644 \u0647\u0627\u06cc \u06af\u0631\u0648\u0647\u06cc \u062f\u0631 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646\u06cc \u0686\u06cc\u0633\u062a\u061f<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><img decoding=\"async\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/ensemble-voting-classification-in-python-with-scikit-learn-1.jpg\" alt=\"\u06af\u0631\u0648\u0647\" title=\"\"><br \/><small>\u0627\u0639\u062a\u0628\u0627\u0631: <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/pixabay.com\/photos\/music-played-saxophone-big-band-619256\/\">\u067e\u06cc\u06a9\u0633\u0627\u0628\u0627\u06cc<\/a><\/small><\/p>\n<p>\u0645\u062f\u0644 \u0647\u0627\u06cc \u0622\u0646\u0633\u0627\u0645\u0628\u0644 \u06cc\u06a9 <em>\u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u06af\u0631\u0648\u0647\u06cc<\/em> \u0631\u0648\u0634\u06cc \u06a9\u0647 \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641 \u0631\u0627 \u0628\u0627 \u0647\u0645 \u062a\u0631\u06a9\u06cc\u0628 \u0645\u06cc \u06a9\u0646\u062f.  \u0627\u0632 \u0627\u06cc\u0646 \u0646\u0638\u0631\u060c \u0627\u06cc\u0646 \u06cc\u06a9 \u0645\u062a\u0627\u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u0627\u0633\u062a \u062a\u0627 \u06cc\u06a9 \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645.  \u0631\u0648\u0634 \u0647\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u06af\u0631\u0648\u0647\u06cc \u0627\u0631\u0632\u0634\u0645\u0646\u062f \u0647\u0633\u062a\u0646\u062f \u0632\u06cc\u0631\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646\u0646\u062f \u0639\u0645\u0644\u06a9\u0631\u062f \u06cc\u06a9 \u0645\u062f\u0644 \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0631\u0627 \u0628\u0647\u0628\u0648\u062f \u0628\u062e\u0634\u0646\u062f.<\/p>\n<p>\u0631\u0648\u0634\u200c\u0647\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u06af\u0631\u0648\u0647\u06cc \u0627\u0632 \u0627\u06cc\u0646 \u0627\u06cc\u062f\u0647 \u06a9\u0647 \u06af\u0631\u0647 \u0632\u062f\u0646 \u067e\u06cc\u0634\u200c\u0628\u06cc\u0646\u06cc\u200c\u0647\u0627\u06cc \u062f\u0633\u062a\u0647\u200c\u0628\u0646\u062f\u06cc\u200c\u06a9\u0646\u0646\u062f\u0647\u200c\u0647\u0627\u06cc \u0645\u062a\u0639\u062f\u062f \u0628\u0627 \u0647\u0645\u060c \u0628\u0627 \u0628\u0647\u0628\u0648\u062f \u062f\u0642\u062a \u067e\u06cc\u0634\u200c\u0628\u06cc\u0646\u06cc \u06cc\u0627 \u06a9\u0627\u0647\u0634 \u062c\u0646\u0628\u0647\u200c\u0647\u0627\u06cc\u06cc \u0645\u0627\u0646\u0646\u062f \u0639\u0645\u0644\u06a9\u0631\u062f \u0628\u0647\u062a\u0631\u060c \u0645\u0646\u062a\u0641\u06cc \u0627\u0633\u062a. <em>\u0633\u0648\u06af\u06cc\u0631\u06cc \u0648 \u0648\u0627\u0631\u06cc\u0627\u0646\u0633<\/em><\/p>\n<p>\u0628\u0647 \u0637\u0648\u0631 \u06a9\u0644\u06cc\u060c \u06cc\u06a9 \u0645\u062f\u0644 \u0645\u062c\u0645\u0648\u0639\u0647 \u0628\u0647 \u06cc\u06a9\u06cc \u0627\u0632 \u062f\u0648 \u062f\u0633\u062a\u0647 \u062a\u0642\u0633\u06cc\u0645 \u0645\u06cc \u0634\u0648\u062f: <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/medium.com\/ml-research-lab\/ensemble-learning-the-heart-of-machine-learning-b4f59a5f9777\">\u0631\u0648\u06cc\u06a9\u0631\u062f\u0647\u0627\u06cc \u0645\u062a\u0648\u0627\u0644\u06cc \u0648 \u0631\u0648\u06cc\u06a9\u0631\u062f\u0647\u0627\u06cc \u0645\u0648\u0627\u0632\u06cc<\/a>.<\/p>\n<p>\u0622 <em>\u06af\u0631\u0648\u0647 \u0645\u062a\u0648\u0627\u0644\u06cc<\/em> \u0645\u062f\u0644 \u0628\u0627 \u0627\u06cc\u062c\u0627\u062f \u0645\u062a\u0648\u0627\u0644\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u0646\u062f\u06af\u0627\u0646\/\u0645\u062f\u0644 \u0647\u0627\u06cc \u067e\u0627\u06cc\u0647 \u0639\u0645\u0644 \u0645\u06cc \u06a9\u0646\u062f.  \u0631\u0648\u0634\u200c\u0647\u0627\u06cc \u0645\u062a\u0648\u0627\u0644\u06cc \u0645\u062c\u0645\u0648\u0639\u0647 \u0645\u0639\u0645\u0648\u0644\u0627\u064b \u0628\u0631\u0627\u06cc \u062a\u0644\u0627\u0634 \u0648 \u0627\u0641\u0632\u0627\u06cc\u0634 \u0639\u0645\u0644\u06a9\u0631\u062f \u06a9\u0644\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc\u200c\u0634\u0648\u0646\u062f\u060c \u0632\u06cc\u0631\u0627 \u0645\u062f\u0644 \u0645\u062c\u0645\u0648\u0639\u0647 \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u062f \u067e\u06cc\u0634\u200c\u0628\u06cc\u0646\u06cc\u200c\u0647\u0627\u06cc \u0646\u0627\u062f\u0631\u0633\u062a \u0631\u0627 \u0628\u0627 \u0648\u0632\u0646\u200c\u062f\u0647\u06cc \u0645\u062c\u062f\u062f \u0646\u0645\u0648\u0646\u0647\u200c\u0647\u0627\u06cc\u06cc \u06a9\u0647 \u0642\u0628\u0644\u0627\u064b \u0628\u0647 \u0627\u0634\u062a\u0628\u0627\u0647 \u0637\u0628\u0642\u0647\u200c\u0628\u0646\u062f\u06cc \u0634\u062f\u0647\u200c\u0627\u0646\u062f\u060c \u062c\u0628\u0631\u0627\u0646 \u06a9\u0646\u062f.  \u06cc\u06a9 \u0645\u062b\u0627\u0644 \u0642\u0627\u0628\u0644 \u062a\u0648\u062c\u0647 \u062f\u0631 \u0627\u06cc\u0646 \u0645\u0648\u0631\u062f \u0627\u0633\u062a <em>AdaBoost<\/em>.<\/p>\n<p>\u0622 <em>\u0645\u062f\u0644 \u0645\u0648\u0627\u0632\u06cc<\/em> \u0647\u0645\u0627\u0646\u0637\u0648\u0631 \u06a9\u0647 \u0645\u0645\u06a9\u0646 \u0627\u0633\u062a \u0628\u062a\u0648\u0627\u0646\u06cc\u062f \u062d\u062f\u0633 \u0628\u0632\u0646\u06cc\u062f\u060c \u0631\u0648\u0634 \u0647\u0627\u06cc\u06cc \u0627\u0633\u062a \u06a9\u0647 \u0645\u062a\u06a9\u06cc \u0647\u0633\u062a\u0646\u062f \u0631\u0648\u06cc \u0627\u06cc\u062c\u0627\u062f \u0648 \u0622\u0645\u0648\u0632\u0634 \u0632\u0628\u0627\u0646 \u0622\u0645\u0648\u0632\u0627\u0646 \u067e\u0627\u06cc\u0647 \u0628\u0647 \u0635\u0648\u0631\u062a \u0645\u0648\u0627\u0632\u06cc.  \u0647\u062f\u0641 \u0631\u0648\u0634\u200c\u0647\u0627\u06cc \u0645\u0648\u0627\u0632\u06cc \u06a9\u0627\u0647\u0634 \u0645\u06cc\u0632\u0627\u0646 \u062e\u0637\u0627 \u0628\u0627 \u0622\u0645\u0648\u0632\u0634 \u0645\u062f\u0644\u200c\u0647\u0627\u06cc \u0645\u062a\u0639\u062f\u062f \u0628\u0647 \u0635\u0648\u0631\u062a \u0645\u0648\u0627\u0632\u06cc \u0648 \u0645\u06cc\u0627\u0646\u06af\u06cc\u0646\u200c\u06af\u06cc\u0631\u06cc \u0646\u062a\u0627\u06cc\u062c \u0628\u0627 \u0647\u0645 \u0627\u0633\u062a.  \u06cc\u06a9 \u0645\u062b\u0627\u0644 \u0642\u0627\u0628\u0644 \u062a\u0648\u062c\u0647 \u0627\u0632 \u0631\u0648\u0634 \u0645\u0648\u0627\u0632\u06cc\u060c \u0637\u0628\u0642\u0647\u200c\u0628\u0646\u062f\u06cc \u062c\u0646\u06af\u0644 \u062a\u0635\u0627\u062f\u0641\u06cc \u0627\u0633\u062a.<\/p>\n<p>\u0631\u0627\u0647 \u062f\u06cc\u06af\u0631 \u062a\u0641\u06a9\u0631 \u062f\u0631 \u0627\u06cc\u0646 \u0645\u0648\u0631\u062f\u060c \u062a\u0645\u0627\u06cc\u0632 \u0628\u06cc\u0646 <em>\u0647\u0645\u06af\u0646<\/em> \u0648 <em>\u0646\u0627\u0647\u0645\u06af\u0648\u0646<\/em> \u0632\u0628\u0627\u0646 \u0622\u0645\u0648\u0632\u0627\u0646  \u062f\u0631 \u062d\u0627\u0644\u06cc \u06a9\u0647 \u0628\u06cc\u0634\u062a\u0631 \u0631\u0648\u0634\u200c\u0647\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u06af\u0631\u0648\u0647\u06cc \u0627\u0632 \u06cc\u0627\u062f\u06af\u06cc\u0631\u0646\u062f\u06af\u0627\u0646 \u067e\u0627\u06cc\u0647 \u0647\u0645\u06af\u0646 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc\u200c\u06a9\u0646\u0646\u062f (\u0628\u0633\u06cc\u0627\u0631\u06cc \u0627\u0632 \u0647\u0645\u0627\u0646 \u0646\u0648\u0639 \u06cc\u0627\u062f\u06af\u06cc\u0631\u0646\u062f\u06af\u0627\u0646)\u060c \u0628\u0631\u062e\u06cc \u0627\u0632 \u0631\u0648\u0634\u200c\u0647\u0627\u06cc \u06af\u0631\u0648\u0647\u06cc \u0627\u0632 \u06cc\u0627\u062f\u06af\u06cc\u0631\u0646\u062f\u06af\u0627\u0646 \u0646\u0627\u0647\u0645\u06af\u0646 (\u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645\u200c\u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0628\u0647 \u0647\u0645 \u067e\u06cc\u0648\u0633\u062a\u0647\u200c\u0627\u0646\u062f) \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc\u200c\u06a9\u0646\u0646\u062f.<\/p>\n<p>\u0628\u0631\u0627\u06cc \u062c\u0645\u0639 \u0628\u0646\u062f\u06cc:<\/p>\n<ul>\n<li>\u0645\u062f\u0644\u200c\u0647\u0627\u06cc \u0645\u062a\u0648\u0627\u0644\u06cc \u0633\u0639\u06cc \u0645\u06cc\u200c\u06a9\u0646\u0646\u062f \u0628\u0627 \u0648\u0632\u0646\u200c\u062f\u0647\u06cc \u0645\u062c\u062f\u062f \u0646\u0645\u0648\u0646\u0647\u200c\u0647\u0627\u060c \u0639\u0645\u0644\u06a9\u0631\u062f \u0631\u0627 \u0627\u0641\u0632\u0627\u06cc\u0634 \u062f\u0647\u0646\u062f \u0648 \u0645\u062f\u0644\u200c\u0647\u0627 \u0628\u0647 \u062a\u0631\u062a\u06cc\u0628 \u062a\u0648\u0644\u06cc\u062f \u0645\u06cc\u200c\u0634\u0648\u0646\u062f.<\/li>\n<li>\u0645\u062f\u0644\u200c\u0647\u0627\u06cc \u0645\u0648\u0627\u0632\u06cc \u0628\u0627 \u0645\u06cc\u0627\u0646\u06af\u06cc\u0646\u200c\u06af\u06cc\u0631\u06cc \u0646\u062a\u0627\u06cc\u062c \u0628\u0627 \u0647\u0645 \u067e\u0633 \u0627\u0632 \u0622\u0645\u0648\u0632\u0634 \u0686\u0646\u062f\u06cc\u0646 \u0645\u062f\u0644 \u0628\u0647 \u0637\u0648\u0631 \u0647\u0645\u0632\u0645\u0627\u0646 \u06a9\u0627\u0631 \u0645\u06cc\u200c\u06a9\u0646\u0646\u062f.<\/li>\n<\/ul>\n<p>\u0627\u06a9\u0646\u0648\u0646 \u0631\u0648\u0634\u200c\u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0627\u06cc\u0646 \u0645\u062f\u0644\u200c\u0647\u0627 \u0631\u0627 \u0628\u0631\u0627\u06cc \u062d\u0644 \u0645\u0634\u06a9\u0644\u0627\u062a \u0637\u0628\u0642\u0647\u200c\u0628\u0646\u062f\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u067e\u0648\u0634\u0634 \u0645\u06cc\u200c\u062f\u0647\u06cc\u0645.<\/p>\n<h2 id=\"differentensembleclassificationmethods\"><span class=\"ez-toc-section\" id=\"%d8%b1%d9%88%d8%b4_%d9%87%d8%a7%db%8c_%d9%85%d8%ae%d8%aa%d9%84%d9%81_%d8%b7%d8%a8%d9%82%d9%87_%d8%a8%d9%86%d8%af%db%8c_%da%af%d8%b1%d9%88%d9%87\"><\/span>\u0631\u0648\u0634 \u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641 \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u06af\u0631\u0648\u0647<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<h3 id=\"bagging\"><span class=\"ez-toc-section\" id=\"%da%a9%d9%88%d9%84%d9%87_%d8%a8%d8%b1%db%8c\"><\/span>\u06a9\u0648\u0644\u0647 \u0628\u0631\u06cc<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><img decoding=\"async\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/ensemble-voting-classification-in-python-with-scikit-learn-2.png\" alt=\"ensemble_bagging\" title=\"\"><br \/><small>\u0627\u0639\u062a\u0628\u0627\u0631: <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/commons.wikimedia.org\/wiki\/File:DTE_Bagging.png\">\u0648\u06cc\u06a9\u06cc\u200c\u0645\u062f\u06cc\u0627 \u06a9\u0627\u0645\u0627\u0646\u0632<\/a><\/small><\/p>\n<p><em>\u06a9\u0648\u0644\u0647 \u0628\u0631\u06cc<\/em>\u060c \u0647\u0645\u0686\u0646\u06cc\u0646 \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0634\u0646\u0627\u062e\u062a\u0647 \u0634\u062f\u0647 \u0627\u0633\u062a <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/en.wikipedia.org\/wiki\/Bootstrap_aggregating\">\u062c\u0645\u0639 \u0622\u0648\u0631\u06cc \u0628\u0648\u062a \u0627\u0633\u062a\u0631\u067e<\/a>\u060c \u06cc\u06a9 \u0631\u0648\u0634 \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u0627\u0633\u062a \u06a9\u0647 \u0647\u062f\u0641 \u0622\u0646 \u06a9\u0627\u0647\u0634 \u0648\u0627\u0631\u06cc\u0627\u0646\u0633 \u062a\u062e\u0645\u06cc\u0646 \u0647\u0627 \u0628\u0627 \u0645\u06cc\u0627\u0646\u06af\u06cc\u0646 \u06af\u06cc\u0631\u06cc \u0686\u0646\u062f\u06cc\u0646 \u062a\u062e\u0645\u06cc\u0646 \u0628\u0627 \u0647\u0645 \u0627\u0633\u062a.  Bagging \u0632\u06cc\u0631\u0645\u062c\u0645\u0648\u0639\u0647 \u0647\u0627\u06cc\u06cc \u0631\u0627 \u0627\u0632 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0627\u0635\u0644\u06cc \u0627\u06cc\u062c\u0627\u062f \u0645\u06cc \u06a9\u0646\u062f \u06a9\u0647 \u06cc\u0627\u062f\u06af\u06cc\u0631\u0646\u062f\u06af\u0627\u0646 \u0622\u0645\u0648\u0632\u0634 \u0645\u06cc \u0628\u06cc\u0646\u0646\u062f \u0631\u0648\u06cc.<\/p>\n<p>\u0628\u0631\u0627\u06cc \u0627\u06cc\u0646\u06a9\u0647 \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\u200c\u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641 \u062a\u062c\u0645\u06cc\u0639 \u0634\u0648\u0646\u062f\u060c \u06cc\u0627 \u0627\u0632 \u0645\u06cc\u0627\u0646\u06af\u06cc\u0646\u200c\u06af\u06cc\u0631\u06cc \u0628\u0631\u0627\u06cc \u0631\u06af\u0631\u0633\u06cc\u0648\u0646 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc\u200c\u0634\u0648\u062f\u060c \u06cc\u0627 \u0627\u0632 \u0631\u0648\u06cc\u06a9\u0631\u062f \u0631\u0623\u06cc\u200c\u06af\u06cc\u0631\u06cc \u0628\u0631\u0627\u06cc \u0637\u0628\u0642\u0647\u200c\u0628\u0646\u062f\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc\u200c\u0634\u0648\u062f (\u0628\u0631 \u0627\u0633\u0627\u0633 \u0631\u0648\u06cc \u062a\u0635\u0645\u06cc\u0645 \u0627\u06a9\u062b\u0631\u06cc\u062a).<\/p>\n<p>\u06cc\u06a9\u06cc \u0627\u0632 \u0646\u0645\u0648\u0646\u0647 \u0647\u0627\u06cc \u0631\u0648\u0634 \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u06a9\u06cc\u0633\u0647 \u0627\u06cc \u0627\u0633\u062a <em>\u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u062c\u0646\u06af\u0644 \u0647\u0627\u06cc \u062a\u0635\u0627\u062f\u0641\u06cc<\/em>.  \u062f\u0631 \u0645\u0648\u0631\u062f \u0637\u0628\u0642\u0647\u200c\u0628\u0646\u062f\u06cc \u062c\u0646\u06af\u0644\u200c\u0647\u0627\u06cc \u062a\u0635\u0627\u062f\u0641\u06cc\u060c \u062a\u0645\u0627\u0645 \u062f\u0631\u062e\u062a\u0627\u0646 \u0645\u0646\u0641\u0631\u062f \u0622\u0645\u0648\u0632\u0634 \u062f\u0627\u062f\u0647 \u0645\u06cc\u200c\u0634\u0648\u0646\u062f \u0631\u0648\u06cc \u0646\u0645\u0648\u0646\u0647 \u0645\u062a\u0641\u0627\u0648\u062a\u06cc \u0627\u0632 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647<\/p>\n<p>\u062f\u0631\u062e\u062a \u0647\u0645\u0686\u0646\u06cc\u0646 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0627\u0646\u062a\u062e\u0627\u0628 \u0647\u0627\u06cc \u062a\u0635\u0627\u062f\u0641\u06cc \u0627\u0632 \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627 \u0622\u0645\u0648\u0632\u0634 \u062f\u0627\u062f\u0647 \u0645\u06cc \u0634\u0648\u062f.  \u0647\u0646\u06af\u0627\u0645\u06cc \u06a9\u0647 \u0646\u062a\u0627\u06cc\u062c \u0628\u0627 \u0647\u0645 \u0645\u06cc\u0627\u0646\u06af\u06cc\u0646 \u0645\u06cc \u0634\u0648\u0646\u062f\u060c \u0648\u0627\u0631\u06cc\u0627\u0646\u0633 \u06a9\u0644\u06cc \u06a9\u0627\u0647\u0634 \u0645\u06cc \u06cc\u0627\u0628\u062f \u0648 \u062f\u0631 \u0646\u062a\u06cc\u062c\u0647 \u0645\u062f\u0644 \u0628\u0647\u062a\u0631 \u0639\u0645\u0644 \u0645\u06cc \u06a9\u0646\u062f.<\/p>\n<h3 id=\"boosting\"><span class=\"ez-toc-section\" id=\"%d8%a7%d9%81%d8%b2%d8%a7%db%8c%d8%b4\"><\/span>\u0627\u0641\u0632\u0627\u06cc\u0634<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/www.analyticsvidhya.com\/blog\/2015\/11\/quick-introduction-boosting-algorithms-machine-learning\/\">\u062a\u0642\u0648\u06cc\u062a \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u0647\u0627<\/a> \u0645\u06cc \u062a\u0648\u0627\u0646\u0646\u062f \u0645\u062f\u0644 \u0647\u0627\u06cc \u0636\u0639\u06cc\u0641 \u0648 \u0628\u0627 \u0639\u0645\u0644\u06a9\u0631\u062f \u0636\u0639\u06cc\u0641 \u0631\u0627 \u0627\u0646\u062a\u062e\u0627\u0628 \u06a9\u0631\u062f\u0647 \u0648 \u0622\u0646\u0647\u0627 \u0631\u0627 \u0628\u0647 \u0645\u062f\u0644 \u0647\u0627\u06cc \u0642\u0648\u06cc \u062a\u0628\u062f\u06cc\u0644 \u06a9\u0646\u0646\u062f.  \u0627\u06cc\u062f\u0647 \u067e\u0634\u062a \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645\u200c\u0647\u0627\u06cc \u062a\u0642\u0648\u06cc\u062a \u0627\u06cc\u0646 \u0627\u0633\u062a \u06a9\u0647 \u0634\u0645\u0627 \u0645\u062f\u0644\u200c\u0647\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0636\u0639\u06cc\u0641 \u0632\u06cc\u0627\u062f\u06cc \u0631\u0627 \u0628\u0647 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647\u200c\u0647\u0627 \u0627\u062e\u062a\u0635\u0627\u0635 \u0645\u06cc\u200c\u062f\u0647\u06cc\u062f\u060c \u0648 \u0633\u067e\u0633 \u0648\u0632\u0646\u200c\u0647\u0627\u06cc \u0646\u0645\u0648\u0646\u0647\u200c\u0647\u0627\u06cc \u0637\u0628\u0642\u0647\u200c\u0628\u0646\u062f\u06cc\u200c\u0634\u062f\u0647 \u0627\u0634\u062a\u0628\u0627\u0647 \u062f\u0631 \u0637\u0648\u0644 \u062f\u0648\u0631\u0647\u200c\u0647\u0627\u06cc \u0628\u0639\u062f\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0628\u0647\u06cc\u0646\u0647 \u0645\u06cc\u200c\u0634\u0648\u0646\u062f.<\/p>\n<p>\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\u200c\u0647\u0627 \u062a\u062c\u0645\u06cc\u0639 \u0645\u06cc\u200c\u0634\u0648\u0646\u062f \u0648 \u0633\u067e\u0633 \u067e\u06cc\u0634\u200c\u0628\u06cc\u0646\u06cc\u200c\u0647\u0627\u06cc \u0646\u0647\u0627\u06cc\u06cc \u0627\u0632 \u0637\u0631\u06cc\u0642 \u062c\u0645\u0639 \u0648\u0632\u0646\u06cc (\u062f\u0631 \u0645\u0648\u0631\u062f \u0631\u06af\u0631\u0633\u06cc\u0648\u0646)\u060c \u06cc\u0627 \u0631\u0627\u06cc \u0627\u06a9\u062b\u0631\u06cc\u062a \u0648\u0632\u0646\u06cc (\u062f\u0631 \u0645\u0648\u0631\u062f \u0637\u0628\u0642\u0647\u200c\u0628\u0646\u062f\u06cc) \u0627\u0646\u062c\u0627\u0645 \u0645\u06cc\u200c\u0634\u0648\u062f.<\/p>\n<p><em>AdaBoost<\/em> \u06cc\u06a9\u06cc \u0627\u0632 \u0646\u0645\u0648\u0646\u0647\u200c\u0647\u0627\u06cc \u0631\u0648\u0634 \u0637\u0628\u0642\u0647\u200c\u0628\u0646\u062f\u06cc \u06a9\u0646\u0646\u062f\u0647 \u062a\u0642\u0648\u06cc\u062a\u06cc \u0627\u0633\u062a\u060c \u0647\u0645\u0627\u0646\u0637\u0648\u0631 \u06a9\u0647 Gradient Boosting \u0646\u06cc\u0632 \u0627\u0632 \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u0641\u0648\u0642 \u0645\u0634\u062a\u0642 \u0634\u062f\u0647 \u0627\u0633\u062a.<\/p>\n<p>\u0627\u06af\u0631 \u0645\u0627\u06cc\u0644\u06cc\u062f \u062f\u0631 \u0645\u0648\u0631\u062f \u062a\u0642\u0648\u06cc\u062a \u06af\u0631\u0627\u062f\u06cc\u0627\u0646 \u0648 \u062a\u0626\u0648\u0631\u06cc \u067e\u0634\u062a \u0622\u0646 \u0628\u06cc\u0634\u062a\u0631 \u0628\u062e\u0648\u0627\u0646\u06cc\u062f\u060c \u0642\u0628\u0644\u0627\u064b \u062f\u0631 \u0645\u0642\u0627\u0644\u0647 \u0642\u0628\u0644\u06cc \u0628\u0647 \u0622\u0646 \u067e\u0631\u062f\u0627\u062e\u062a\u0647 \u0627\u06cc\u0645.<\/p>\n<h3 id=\"stacking\"><span class=\"ez-toc-section\" id=\"%d9%be%d8%b4%d8%aa%d9%87%d8%b3%d8%a7%d8%b2%db%8c\"><\/span>\u067e\u0634\u062a\u0647\u0633\u0627\u0632\u06cc<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><img decoding=\"async\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/ensemble-voting-classification-in-python-with-scikit-learn-3.png\" alt=\"ensemble_stacking\" title=\"\"><br \/><small>\u0627\u0639\u062a\u0628\u0627\u0631: <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/commons.wikimedia.org\/wiki\/File:Stacking.png\" class=\"broken_link\">\u0648\u06cc\u06a9\u06cc\u200c\u0645\u062f\u06cc\u0627 \u06a9\u0627\u0645\u0627\u0646\u0632<\/a><\/small><\/p>\n<p><a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/blogs.sas.com\/content\/subconsciousmusings\/2017\/05\/18\/stacked-ensemble-models-win-data-science-competitions\/\" class=\"broken_link\">\u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u0647\u0627\u06cc \u0627\u0646\u0628\u0627\u0634\u062a\u06af\u06cc<\/a> \u06cc\u06a9 \u0631\u0648\u0634 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u06af\u0631\u0648\u0647\u06cc \u0627\u0633\u062a \u06a9\u0647 \u062a\u0635\u0645\u06cc\u0645 \u06af\u06cc\u0631\u06cc \u0627\u0632 \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641 \u0631\u06af\u0631\u0633\u06cc\u0648\u0646 \u06cc\u0627 \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u0631\u0627 \u062a\u0631\u06a9\u06cc\u0628 \u0645\u06cc \u06a9\u0646\u062f.  \u0645\u062f\u0644 \u0647\u0627\u06cc \u0627\u062c\u0632\u0627 \u0622\u0645\u0648\u0632\u0634 \u062f\u06cc\u062f\u0647 \u0627\u0646\u062f \u0631\u0648\u06cc \u06a9\u0644 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0622\u0645\u0648\u0632\u0634\u06cc  \u067e\u0633 \u0627\u0632 \u0622\u0645\u0648\u0632\u0634 \u0627\u06cc\u0646 \u0645\u062f\u0644\u200c\u0647\u0627\u06cc \u0627\u062c\u0632\u0627\u060c \u06cc\u06a9 \u0645\u062a\u0627 \u0645\u062f\u0644 \u0627\u0632 \u0645\u062f\u0644\u200c\u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641 \u0645\u0648\u0646\u062a\u0627\u0698 \u0645\u06cc\u200c\u0634\u0648\u062f \u0648 \u0633\u067e\u0633 \u0622\u0645\u0648\u0632\u0634 \u062f\u0627\u062f\u0647 \u0645\u06cc\u200c\u0634\u0648\u062f. \u0631\u0648\u06cc \u062e\u0631\u0648\u062c\u06cc \u0647\u0627\u06cc \u0645\u062f\u0644 \u0647\u0627\u06cc \u062c\u0632\u0621  \u0627\u06cc\u0646 \u0631\u0648\u06cc\u06a9\u0631\u062f \u0645\u0639\u0645\u0648\u0644\u0627\u064b \u06cc\u06a9 \u0645\u062c\u0645\u0648\u0639\u0647 \u0646\u0627\u0647\u0645\u06af\u0646 \u0627\u06cc\u062c\u0627\u062f \u0645\u06cc \u06a9\u0646\u062f \u0632\u06cc\u0631\u0627 \u0645\u062f\u0644 \u0647\u0627\u06cc \u0645\u0624\u0644\u0641\u0647 \u0645\u0639\u0645\u0648\u0644\u0627\u064b \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u0647\u0627\u06cc \u0645\u062a\u0641\u0627\u0648\u062a\u06cc \u0647\u0633\u062a\u0646\u062f.<\/p>\n<h2 id=\"exampleimplementations\"><span class=\"ez-toc-section\" id=\"%d9%86%d9%85%d9%88%d9%86%d9%87_%d8%a7%d8%ac%d8%b1%d8%a7%d9%87%d8%a7\"><\/span>\u0646\u0645\u0648\u0646\u0647 \u0627\u062c\u0631\u0627\u0647\u0627<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u0627\u06a9\u0646\u0648\u0646 \u06a9\u0647 \u0631\u0648\u0634\u200c\u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641\u06cc \u0631\u0627 \u0628\u0631\u0631\u0633\u06cc \u06a9\u0631\u062f\u0647\u200c\u0627\u06cc\u0645 \u06a9\u0647 \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u06cc\u0645 \u0627\u0632 \u0622\u0646\u0647\u0627 \u0628\u0631\u0627\u06cc \u0627\u06cc\u062c\u0627\u062f \u0645\u062f\u0644\u200c\u0647\u0627\u06cc \u0645\u062c\u0645\u0648\u0639\u0647 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u0645\u060c \u0628\u06cc\u0627\u06cc\u06cc\u062f \u0646\u06af\u0627\u0647\u06cc \u0628\u06cc\u0646\u062f\u0627\u0632\u06cc\u0645 \u06a9\u0647 \u0686\u06af\u0648\u0646\u0647 \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u06cc\u0645 \u06cc\u06a9 \u0637\u0628\u0642\u0647\u200c\u0628\u0646\u062f\u06cc \u06a9\u0646\u0646\u062f\u0647 \u0631\u0627 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0631\u0648\u0634\u200c\u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641 \u067e\u06cc\u0627\u062f\u0647\u200c\u0633\u0627\u0632\u06cc \u06a9\u0646\u06cc\u0645.<\/p>\n<p>\u0627\u06af\u0631\u0686\u0647\u060c \u0642\u0628\u0644 \u0627\u0632 \u0627\u06cc\u0646\u06a9\u0647 \u0628\u062a\u0648\u0627\u0646\u06cc\u0645 \u0646\u06af\u0627\u0647\u06cc \u0628\u0647 \u0631\u0648\u0634\u200c\u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641 \u067e\u06cc\u0627\u062f\u0647\u200c\u0633\u0627\u0632\u06cc \u0637\u0628\u0642\u0647\u200c\u0628\u0646\u062f\u06cc\u200c\u06a9\u0646\u0646\u062f\u0647\u200c\u0647\u0627\u06cc \u06af\u0631\u0648\u0647 \u0628\u06cc\u0646\u062f\u0627\u0632\u06cc\u0645\u060c \u0628\u0627\u06cc\u062f \u06cc\u06a9 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0631\u0627 \u0628\u0631\u0627\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0646\u062a\u062e\u0627\u0628 \u06a9\u0646\u06cc\u0645 \u0648 \u067e\u06cc\u0634\u200c\u067e\u0631\u062f\u0627\u0632\u0634 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0631\u0627 \u0627\u0646\u062c\u0627\u0645 \u062f\u0647\u06cc\u0645.<\/p>\n<p>\u0645\u0627 \u0627\u0632 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u062a\u0627\u06cc\u062a\u0627\u0646\u06cc\u06a9 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u062e\u0648\u0627\u0647\u06cc\u0645 \u06a9\u0631\u062f \u06a9\u0647 \u0645\u06cc \u062a\u0648\u0627\u0646\u062f \u0628\u0627\u0634\u062f <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/www.kaggle.com\/c\/titanic\">\u0627\u06cc\u0646\u062c\u0627 \u062f\u0627\u0646\u0644\u0648\u062f \u0634\u062f\u0647 \u0627\u0633\u062a<\/a>.  \u0628\u06cc\u0627\u06cc\u06cc\u062f \u0642\u0628\u0644 \u0627\u0632 \u067e\u0631\u062f\u0627\u0632\u0634 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0631\u0627 \u0627\u0646\u062c\u0627\u0645 \u062f\u0647\u06cc\u0645 \u062a\u0627 \u0627\u0632 \u0645\u0642\u0627\u062f\u06cc\u0631 \u0627\u0632 \u062f\u0633\u062a \u0631\u0641\u062a\u0647 \u062e\u0644\u0627\u0635 \u0634\u0648\u06cc\u0645 \u0648 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0631\u0627 \u062f\u0631 \u0645\u062d\u062f\u0648\u062f\u0647 \u06cc\u06a9\u0646\u0648\u0627\u062e\u062a \u0645\u0642\u06cc\u0627\u0633 \u06a9\u0646\u06cc\u0645.  \u0633\u067e\u0633 \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u06cc\u0645 \u0628\u0647 \u0631\u0627\u0647\u200c\u0627\u0646\u062f\u0627\u0632\u06cc \u0637\u0628\u0642\u0647\u200c\u0628\u0646\u062f\u06cc\u200c\u06a9\u0646\u0646\u062f\u0647\u200c\u0647\u0627\u06cc \u06af\u0631\u0648\u0647\u06cc \u0628\u067e\u0631\u062f\u0627\u0632\u06cc\u0645.<\/p>\n<h3 id=\"datapreprocessing\"><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\"><\/span>\u067e\u06cc\u0634 \u067e\u0631\u062f\u0627\u0632\u0634 \u062f\u0627\u062f\u0647 \u0647\u0627<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u0628\u0631\u0627\u06cc \u0634\u0631\u0648\u0639\u060c \u0645\u0627 \u0628\u0627 \u0648\u0627\u0631\u062f \u06a9\u0631\u062f\u0646 \u062a\u0645\u0627\u0645 \u062a\u0648\u0627\u0628\u0639 \u0645\u0648\u0631\u062f \u0646\u06cc\u0627\u0632 \u0627\u0632 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0647\u0627\u06cc \u0645\u0631\u0628\u0648\u0637\u0647 \u0634\u0631\u0648\u0639 \u0645\u06cc \u06a9\u0646\u06cc\u0645.  \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u062e\u0648\u0627\u0647\u06cc\u0645 \u06a9\u0631\u062f <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/pandas.pydata.org\/\">\u067e\u0627\u0646\u062f\u0627\u0647\u0627<\/a> \u0648 <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/numpy.org\/\">\u0646\u0627\u0627\u0645\u067e\u06cc<\/a> \u0628\u0631\u0627\u06cc \u0628\u0627\u0631\u06af\u0630\u0627\u0631\u06cc \u0648 \u062a\u0628\u062f\u06cc\u0644 \u062f\u0627\u062f\u0647 \u0647\u0627\u060c \u0648 \u0647\u0645\u0686\u0646\u06cc\u0646 <code>LabelEncoder<\/code> \u0648 <code>StandardScaler<\/code> \u0627\u0628\u0632\u0627\u0631.<\/p>\n<p>\u0645\u0627 \u0647\u0645\u0686\u0646\u06cc\u0646 \u0628\u0647 \u0645\u0639\u06cc\u0627\u0631\u0647\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646\u06cc \u0646\u06cc\u0627\u0632 \u062e\u0648\u0627\u0647\u06cc\u0645 \u062f\u0627\u0634\u062a <code>train_test_split<\/code> \u062a\u0627\u0628\u0639.  \u062f\u0631 \u0646\u0647\u0627\u06cc\u062a\u060c \u0645\u0627 \u0628\u0647 \u0637\u0628\u0642\u0647\u200c\u0628\u0646\u062f\u06cc\u200c\u06a9\u0646\u0646\u062f\u0647\u200c\u0647\u0627\u06cc\u06cc \u06a9\u0647 \u0645\u06cc\u200c\u062e\u0648\u0627\u0647\u06cc\u0645 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u0645 \u0646\u06cc\u0627\u0632 \u062f\u0627\u0631\u06cc\u0645:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">import<\/span> pandas <span class=\"hljs-keyword\">as<\/span> pd\n<span class=\"hljs-keyword\">import<\/span> numpy <span class=\"hljs-keyword\">as<\/span> np\n<span class=\"hljs-keyword\">import<\/span> warnings\n\n<span class=\"hljs-keyword\">from<\/span> sklearn.preprocessing <span class=\"hljs-keyword\">import<\/span> LabelEncoder, StandardScaler\n<span class=\"hljs-keyword\">from<\/span> sklearn.metrics <span class=\"hljs-keyword\">import<\/span> accuracy_score, f1_score, log_loss\n<span class=\"hljs-keyword\">from<\/span> sklearn.model_selection <span class=\"hljs-keyword\">import<\/span> train_test_split, KFold, cross_val_score\n\n<span class=\"hljs-keyword\">from<\/span> sklearn.svm <span class=\"hljs-keyword\">import<\/span> SVC\n<span class=\"hljs-keyword\">from<\/span> sklearn.linear_model <span class=\"hljs-keyword\">import<\/span> LogisticRegression\n<span class=\"hljs-keyword\">from<\/span> sklearn.tree <span class=\"hljs-keyword\">import<\/span> DecisionTreeClassifier\n<span class=\"hljs-keyword\">from<\/span> sklearn.ensemble <span class=\"hljs-keyword\">import<\/span> VotingClassifier\n<span class=\"hljs-keyword\">from<\/span> sklearn.ensemble <span class=\"hljs-keyword\">import<\/span> BaggingClassifier\n<span class=\"hljs-keyword\">from<\/span> sklearn.ensemble <span class=\"hljs-keyword\">import<\/span> AdaBoostClassifier, RandomForestClassifier, ExtraTreesClassifier\n<\/code><\/pre>\n<p>\u0645\u0627 \u0628\u0627 \u0628\u0627\u0631\u06af\u06cc\u0631\u06cc \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0622\u0645\u0648\u0632\u0634\u06cc \u0648 \u0622\u0632\u0645\u0627\u06cc\u0634\u06cc \u0648 \u0633\u067e\u0633 \u0627\u06cc\u062c\u0627\u062f \u06cc\u06a9 \u062a\u0627\u0628\u0639 \u0628\u0631\u0627\u06cc \u0628\u0631\u0631\u0633\u06cc \u0648\u062c\u0648\u062f \u0645\u0642\u0627\u062f\u06cc\u0631 \u062a\u0647\u06cc \u0634\u0631\u0648\u0639 \u0645\u06cc \u06a9\u0646\u06cc\u0645:<\/p>\n<pre><code class=\"hljs\">training_data = pd.read_csv(<span class=\"hljs-string\">\"train.csv\"<\/span>)\ntesting_data = pd.read_csv(<span class=\"hljs-string\">\"test.csv\"<\/span>)\n\n<span class=\"hljs-function\"><span class=\"hljs-keyword\">def<\/span> <span class=\"hljs-title\">get_nulls<\/span>(<span class=\"hljs-params\">training, testing<\/span>):<\/span>\n    <span class=\"hljs-built_in\">print<\/span>(<span class=\"hljs-string\">\"Training Data:\"<\/span>)\n    <span class=\"hljs-built_in\">print<\/span>(pd.isnull(training).<span class=\"hljs-built_in\">sum<\/span>())\n    <span class=\"hljs-built_in\">print<\/span>(<span class=\"hljs-string\">\"Testing Data:\"<\/span>)\n    <span class=\"hljs-built_in\">print<\/span>(pd.isnull(testing).<span class=\"hljs-built_in\">sum<\/span>())\n\nget_nulls(training_data, testing_data)\n<\/code><\/pre>\n<p>\u0647\u0645\u0627\u0646\u0637\u0648\u0631 \u06a9\u0647 \u0627\u062a\u0641\u0627\u0642 \u0645\u06cc \u0627\u0641\u062a\u062f\u060c \u0645\u0642\u0627\u062f\u06cc\u0631 \u0632\u06cc\u0627\u062f\u06cc \u0627\u0632 \u062f\u0633\u062a \u0631\u0641\u062a\u0647 \u062f\u0631 \u0622\u0646 \u0648\u062c\u0648\u062f \u062f\u0627\u0631\u062f <code>Age<\/code> \u0648 <code>Cabin<\/code> \u062f\u0633\u062a\u0647 \u0628\u0646\u062f\u06cc \u0647\u0627.<\/p>\n<pre><code class=\"hljs\">Training Data:\nPassengerId      0\nSurvived         0\nPclass           0\nName             0\nSex              0\nAge            177\nSibSp            0\nParch            0\nTicket           0\nFare             0\nCabin          687\nEmbarked         2\ndtype: int64\nTesting Data:\nPassengerId      0\nPclass           0\nName             0\nSex              0\nAge             86\nSibSp            0\nParch            0\nTicket           0\nFare             1\nCabin          327\nEmbarked         0\ndtype: int64\n<\/code><\/pre>\n<p>\u0645\u0627 \u0628\u0627 \u062d\u0630\u0641 \u0628\u0631\u062e\u06cc \u0627\u0632 \u0633\u062a\u0648\u0646\u200c\u0647\u0627\u06cc\u06cc \u06a9\u0647 \u0627\u062d\u062a\u0645\u0627\u0644\u0627\u064b \u0628\u06cc\u200c\u0641\u0627\u06cc\u062f\u0647 \u062e\u0648\u0627\u0647\u0646\u062f \u0628\u0648\u062f \u0634\u0631\u0648\u0639 \u0645\u06cc\u200c\u06a9\u0646\u06cc\u0645 <code>Cabin<\/code> \u0633\u062a\u0648\u0646 \u0648 <code>Ticket<\/code> \u0633\u062a\u0648\u0646  \u0627\u06cc\u0646 <code>Cabin<\/code> \u0633\u062a\u0648\u0646 \u062f\u0627\u0631\u0627\u06cc \u0645\u0642\u0627\u062f\u06cc\u0631 \u0628\u0633\u06cc\u0627\u0631 \u0632\u06cc\u0627\u062f\u06cc \u0627\u0632 \u062f\u0633\u062a \u0631\u0641\u062a\u0647 \u0627\u0633\u062a <code>Ticket<\/code> \u0633\u062a\u0648\u0646 \u0628\u0647 \u0633\u0627\u062f\u06af\u06cc \u0627\u0632 \u062f\u0633\u062a\u0647 \u0628\u0646\u062f\u06cc \u0647\u0627\u06cc \u0632\u06cc\u0627\u062f\u06cc \u062a\u0634\u06a9\u06cc\u0644 \u0634\u062f\u0647 \u0627\u0633\u062a \u06a9\u0647 \u0645\u0641\u06cc\u062f \u0646\u06cc\u0633\u062a.<\/p>\n<p>\u067e\u0633 \u0627\u0632 \u0622\u0646\u060c \u0645\u0627 \u0628\u0627\u06cc\u062f \u0645\u0642\u062f\u0627\u0631\u06cc \u0627\u0632 \u062f\u0633\u062a \u0631\u0641\u062a\u0647 \u0631\u0627 \u0646\u0633\u0628\u062a \u062f\u0647\u06cc\u0645.  \u0648\u0642\u062a\u06cc \u0627\u06cc\u0646 \u06a9\u0627\u0631 \u0631\u0627 \u0627\u0646\u062c\u0627\u0645 \u0645\u06cc\u200c\u062f\u0647\u06cc\u0645\u060c \u0628\u0627\u06cc\u062f \u0631\u0648\u0634 \u0627\u0646\u062d\u0631\u0627\u0641 \u06a9\u0645\u06cc \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0631\u0627 \u062f\u0631 \u0646\u0638\u0631 \u0628\u06af\u06cc\u0631\u06cc\u0645 (\u0633\u0646\u06cc\u0646 \u062c\u0648\u0627\u0646 \u06a9\u0645\u06cc \u0628\u0631\u062c\u0633\u062a\u0647\u200c\u062a\u0631 \u0627\u0632 \u0633\u0646\u06cc\u0646 \u0628\u0632\u0631\u06af\u062a\u0631 \u0647\u0633\u062a\u0646\u062f).  \u0647\u0646\u06af\u0627\u0645\u06cc \u06a9\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0631\u0627 \u062f\u0631\u062c \u0645\u06cc \u06a9\u0646\u06cc\u0645\u060c \u0627\u0632 \u0645\u0642\u0627\u062f\u06cc\u0631 \u0645\u06cc\u0627\u0646\u0647 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u06a9\u0646\u06cc\u0645\u060c \u0632\u06cc\u0631\u0627 \u0628\u0647 \u062f\u0644\u06cc\u0644 \u0645\u0642\u0627\u062f\u06cc\u0631 \u067e\u0631\u062a \u0628\u0632\u0631\u06af\u060c \u06af\u0631\u0641\u062a\u0646 \u0645\u0642\u0627\u062f\u06cc\u0631 \u0645\u062a\u0648\u0633\u0637\u060c \u0645\u0642\u0627\u062f\u06cc\u0631 \u0648\u0631\u0648\u062f\u06cc \u0631\u0627 \u0628\u0647 \u0645\u0627 \u0645\u06cc \u062f\u0647\u062f \u06a9\u0647 \u0627\u0632 \u0645\u0631\u06a9\u0632 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u062f\u0648\u0631 \u0647\u0633\u062a\u0646\u062f:<\/p>\n<pre><code class=\"hljs\">\n\n\n\ntraining_data.drop(labels=(<span class=\"hljs-string\">'Cabin'<\/span>, <span class=\"hljs-string\">'Ticket'<\/span>, <span class=\"hljs-string\">'Name'<\/span>), axis=<span class=\"hljs-number\">1<\/span>, inplace=<span class=\"hljs-literal\">True<\/span>)\ntesting_data.drop(labels=(<span class=\"hljs-string\">'Cabin'<\/span>, <span class=\"hljs-string\">'Ticket'<\/span>, <span class=\"hljs-string\">'Name'<\/span>), axis=<span class=\"hljs-number\">1<\/span>, inplace=<span class=\"hljs-literal\">True<\/span>)\n\n\n\n\ntraining_data(<span class=\"hljs-string\">\"Age\"<\/span>).fillna(training_data(<span class=\"hljs-string\">\"Age\"<\/span>).median(), inplace=<span class=\"hljs-literal\">True<\/span>)\ntesting_data(<span class=\"hljs-string\">\"Age\"<\/span>).fillna(testing_data(<span class=\"hljs-string\">\"Age\"<\/span>).median(), inplace=<span class=\"hljs-literal\">True<\/span>)\ntraining_data(<span class=\"hljs-string\">\"Embarked\"<\/span>).fillna(<span class=\"hljs-string\">\"S\"<\/span>, inplace=<span class=\"hljs-literal\">True<\/span>)\ntesting_data(<span class=\"hljs-string\">\"Fare\"<\/span>).fillna(testing_data(<span class=\"hljs-string\">\"Fare\"<\/span>).median(), inplace=<span class=\"hljs-literal\">True<\/span>)\n\nget_nulls(training_data, testing_data)\n<\/code><\/pre>\n<p>\u0627\u06a9\u0646\u0648\u0646 \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u06cc\u0645 \u0628\u0628\u06cc\u0646\u06cc\u0645 \u06a9\u0647 \u0647\u06cc\u0686 \u0645\u0642\u062f\u0627\u0631 \u06af\u0645\u0634\u062f\u0647 \u062f\u06cc\u06af\u0631\u06cc \u0648\u062c\u0648\u062f \u0646\u062f\u0627\u0631\u062f:<\/p>\n<pre><code class=\"hljs\">Training Data:\nPassengerId    0\nSurvived       0\nPclass         0\nName           0\nSex            0\nAge            0\nSibSp          0\nParch          0\nFare           0\nEmbarked       0\ndtype: int64\nTesting Data:\nPassengerId    0\nPclass         0\nName           0\nSex            0\nAge            0\nSibSp          0\nParch          0\nFare           0\nEmbarked       0\ndtype: int64\n<\/code><\/pre>\n<p>\u0627\u06a9\u0646\u0648\u0646 \u0628\u0627\u06cc\u062f \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u063a\u06cc\u0631 \u0639\u062f\u062f\u06cc \u0631\u0627 \u0631\u0645\u0632\u06af\u0630\u0627\u0631\u06cc \u06a9\u0646\u06cc\u0645.  \u0628\u06cc\u0627\u06cc\u06cc\u062f \u0631\u0627\u0647 \u0627\u0646\u062f\u0627\u0632\u06cc \u06a9\u0646\u06cc\u0645 <code>LabelEncoder<\/code> \u0648 \u0645\u062a\u0646\u0627\u0633\u0628 \u0628\u0627 \u0622\u0646 \u0631\u0648\u06cc \u0631\u0627 <code>Sex<\/code> \u0642\u0627\u0628\u0644\u06cc\u062a \u0648 \u0633\u067e\u0633 \u062a\u0628\u062f\u06cc\u0644 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0628\u0627 \u0631\u0645\u0632\u06af\u0630\u0627\u0631.  \u0633\u067e\u0633 \u0645\u0642\u0627\u062f\u06cc\u0631 \u0645\u0648\u062c\u0648\u062f \u062f\u0631 \u0631\u0627 \u062c\u0627\u06cc\u06af\u0632\u06cc\u0646 \u0645\u06cc \u06a9\u0646\u06cc\u0645 <code>Sex<\/code> \u0648\u06cc\u0698\u06af\u06cc \u0628\u0627 \u0622\u0646\u0647\u0627\u06cc\u06cc \u06a9\u0647 \u06a9\u062f\u06af\u0630\u0627\u0631\u06cc \u0634\u062f\u0647 \u0627\u0646\u062f \u0648 \u0633\u067e\u0633 \u0647\u0645\u06cc\u0646 \u06a9\u0627\u0631 \u0631\u0627 \u0628\u0631\u0627\u06cc \u0622\u0646 \u0627\u0646\u062c\u0627\u0645 \u062f\u0647\u06cc\u062f <code>Embarked<\/code> \u0648\u06cc\u0698\u06af\u06cc.<\/p>\n<p>\u062f\u0631 \u0646\u0647\u0627\u06cc\u062a\u060c \u0627\u062c\u0627\u0632\u0647 \u062f\u0647\u06cc\u062f \u062f\u0627\u062f\u0647 \u0647\u0627 \u0631\u0627 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0645\u0642\u06cc\u0627\u0633 \u0628\u0646\u062f\u06cc \u06a9\u0646\u06cc\u0645 <code>StandardScaler<\/code>\u060c \u0628\u0646\u0627\u0628\u0631\u0627\u06cc\u0646 \u0646\u0648\u0633\u0627\u0646\u0627\u062a \u0632\u06cc\u0627\u062f\u06cc \u062f\u0631 \u0627\u0631\u0632\u0634 \u0647\u0627 \u0648\u062c\u0648\u062f \u0646\u062f\u0627\u0631\u062f.<\/p>\n<pre><code class=\"hljs\">encoder_1 = LabelEncoder()\n\nencoder_1.fit(training_data(<span class=\"hljs-string\">\"Sex\"<\/span>))\n\n\ntraining_sex_encoded = encoder_1.transform(training_data(<span class=\"hljs-string\">\"Sex\"<\/span>))\ntraining_data(<span class=\"hljs-string\">\"Sex\"<\/span>) = training_sex_encoded\ntest_sex_encoded = encoder_1.transform(testing_data(<span class=\"hljs-string\">\"Sex\"<\/span>))\ntesting_data(<span class=\"hljs-string\">\"Sex\"<\/span>) = test_sex_encoded\n\nencoder_2 = LabelEncoder()\nencoder_2.fit(training_data(<span class=\"hljs-string\">\"Embarked\"<\/span>))\n\ntraining_embarked_encoded = encoder_2.transform(training_data(<span class=\"hljs-string\">\"Embarked\"<\/span>))\ntraining_data(<span class=\"hljs-string\">\"Embarked\"<\/span>) = training_embarked_encoded\ntesting_embarked_encoded = encoder_2.transform(testing_data(<span class=\"hljs-string\">\"Embarked\"<\/span>))\ntesting_data(<span class=\"hljs-string\">\"Embarked\"<\/span>) = testing_embarked_encoded\n\n\nages_train = np.array(training_data(<span class=\"hljs-string\">\"Age\"<\/span>)).reshape(-<span class=\"hljs-number\">1<\/span>, <span class=\"hljs-number\">1<\/span>)\nfares_train = np.array(training_data(<span class=\"hljs-string\">\"Fare\"<\/span>)).reshape(-<span class=\"hljs-number\">1<\/span>, <span class=\"hljs-number\">1<\/span>)\nages_test = np.array(testing_data(<span class=\"hljs-string\">\"Age\"<\/span>)).reshape(-<span class=\"hljs-number\">1<\/span>, <span class=\"hljs-number\">1<\/span>)\nfares_test = np.array(testing_data(<span class=\"hljs-string\">\"Fare\"<\/span>)).reshape(-<span class=\"hljs-number\">1<\/span>, <span class=\"hljs-number\">1<\/span>)\n\n\nscaler = StandardScaler()\n\ntraining_data(<span class=\"hljs-string\">\"Age\"<\/span>) = scaler.fit_transform(ages_train)\ntraining_data(<span class=\"hljs-string\">\"Fare\"<\/span>) = scaler.fit_transform(fares_train)\ntesting_data(<span class=\"hljs-string\">\"Age\"<\/span>) = scaler.fit_transform(ages_test)\ntesting_data(<span class=\"hljs-string\">\"Fare\"<\/span>) = scaler.fit_transform(fares_test)\n<\/code><\/pre>\n<p>\u0627\u06a9\u0646\u0648\u0646 \u06a9\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0645\u0627 \u0627\u0632 \u0642\u0628\u0644 \u067e\u0631\u062f\u0627\u0632\u0634 \u0634\u062f\u0647 \u0627\u0633\u062a\u060c \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627 \u0648 \u0628\u0631\u0686\u0633\u0628 \u0647\u0627\u06cc \u062e\u0648\u062f \u0631\u0627 \u0627\u0646\u062a\u062e\u0627\u0628 \u06a9\u0631\u062f\u0647 \u0648 \u0633\u067e\u0633 \u0627\u0632 \u0622\u0646 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u0645 <code>train_test_split<\/code> \u0639\u0645\u0644\u06a9\u0631\u062f\u06cc \u0628\u0631\u0627\u06cc \u062a\u0642\u0633\u06cc\u0645 \u06a9\u0644 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0622\u0645\u0648\u0632\u0634\u06cc \u0645\u0627 \u0628\u0647 \u0645\u062c\u0645\u0648\u0639\u0647 \u0647\u0627\u06cc \u0622\u0645\u0648\u0632\u0634\u06cc \u0648 \u0622\u0632\u0645\u0627\u06cc\u0634\u06cc:<\/p>\n<pre><code class=\"hljs\">\nX_features = training_data.drop(labels=(<span class=\"hljs-string\">'PassengerId'<\/span>, <span class=\"hljs-string\">'Survived'<\/span>), axis=<span class=\"hljs-number\">1<\/span>)\ny_labels = training_data(<span class=\"hljs-string\">'Survived'<\/span>)\n\n<span class=\"hljs-built_in\">print<\/span>(X_features.head(<span class=\"hljs-number\">5<\/span>))\n\n\n\nX_train, X_val, y_train, y_val = train_test_split(X_features, y_labels, test_size=<span class=\"hljs-number\">0.1<\/span>, random_state=<span class=\"hljs-number\">27<\/span>)\n<\/code><\/pre>\n<p>\u0645\u0627 \u0627\u06a9\u0646\u0648\u0646 \u0622\u0645\u0627\u062f\u0647 \u0634\u0631\u0648\u0639 \u067e\u06cc\u0627\u062f\u0647 \u0633\u0627\u0632\u06cc \u0631\u0648\u0634 \u0647\u0627\u06cc \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u06af\u0631\u0648\u0647\u06cc \u0647\u0633\u062a\u06cc\u0645.<\/p>\n<h3 id=\"simpleaveragingapproach\"><span class=\"ez-toc-section\" id=\"%d8%b1%d9%88%d8%b4_%d9%85%db%8c%d8%a7%d9%86%da%af%db%8c%d9%86_%da%af%db%8c%d8%b1%db%8c_%d8%b3%d8%a7%d8%af%d9%87\"><\/span>\u0631\u0648\u0634 \u0645\u06cc\u0627\u0646\u06af\u06cc\u0646 \u06af\u06cc\u0631\u06cc \u0633\u0627\u062f\u0647<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u0642\u0628\u0644 \u0627\u0632 \u0627\u06cc\u0646\u06a9\u0647 \u0628\u0647 \u0633\u0647 \u0631\u0648\u0634 \u06af\u0631\u0648\u0647 \u0628\u0632\u0631\u06af\u06cc \u06a9\u0647 \u0642\u0628\u0644\u0627\u064b \u062a\u0648\u0636\u06cc\u062d \u062f\u0627\u062f\u06cc\u0645 \u0648\u0627\u0631\u062f \u0634\u0648\u06cc\u0645\u060c \u0627\u062c\u0627\u0632\u0647 \u062f\u0647\u06cc\u062f \u06cc\u06a9 \u0631\u0648\u0634 \u0628\u0633\u06cc\u0627\u0631 \u0633\u0631\u06cc\u0639 \u0648 \u0622\u0633\u0627\u0646 \u0628\u0631\u0627\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u06cc\u06a9 \u0631\u0648\u06cc\u06a9\u0631\u062f \u06af\u0631\u0648\u0647\u06cc \u0631\u0627 \u067e\u0648\u0634\u0634 \u062f\u0647\u06cc\u0645 &#8211; <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/www.analyticsvidhya.com\/blog\/2018\/06\/comprehensive-guide-for-ensemble-models\/\">\u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0647\u0627\u06cc \u0645\u06cc\u0627\u0646\u06af\u06cc\u0646<\/a>.  \u0645\u0627 \u0628\u0647 \u0633\u0627\u062f\u06af\u06cc \u0645\u0642\u0627\u062f\u06cc\u0631 \u0645\u062e\u062a\u0644\u0641 \u067e\u06cc\u0634\u200c\u0628\u06cc\u0646\u06cc\u200c\u0634\u062f\u0647 \u0637\u0628\u0642\u0647\u200c\u0628\u0646\u062f\u06cc\u200c\u06a9\u0646\u0646\u062f\u0647\u200c\u0647\u0627\u06cc \u0627\u0646\u062a\u062e\u0627\u0628\u06cc \u062e\u0648\u062f \u0631\u0627 \u0628\u0627 \u0647\u0645 \u062c\u0645\u0639 \u0645\u06cc\u200c\u06a9\u0646\u06cc\u0645 \u0648 \u0633\u067e\u0633 \u0628\u0631 \u062a\u0639\u062f\u0627\u062f \u06a9\u0644 \u0637\u0628\u0642\u0647\u200c\u0628\u0646\u062f\u06cc\u200c\u06a9\u0646\u0646\u062f\u0647\u200c\u0647\u0627 \u062a\u0642\u0633\u06cc\u0645 \u0645\u06cc\u200c\u06a9\u0646\u06cc\u0645\u060c \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u062a\u0642\u0633\u06cc\u0645 \u0637\u0628\u0642\u0647 \u0628\u0631\u0627\u06cc \u0628\u0647 \u062f\u0633\u062a \u0622\u0648\u0631\u062f\u0646 \u06cc\u06a9 \u0645\u0642\u062f\u0627\u0631 \u06a9\u0627\u0645\u0644.<\/p>\n<p>\u062f\u0631 \u0627\u06cc\u0646 \u0645\u0648\u0631\u062f \u0622\u0632\u0645\u0627\u06cc\u0634\u06cc \u0645\u0627 \u0627\u0632 \u0631\u06af\u0631\u0633\u06cc\u0648\u0646 \u0644\u062c\u0633\u062a\u06cc\u06a9\u060c \u06cc\u06a9 \u0637\u0628\u0642\u0647\u200c\u0628\u0646\u062f\u06cc \u062f\u0631\u062e\u062a \u062a\u0635\u0645\u06cc\u0645 \u0648 \u0637\u0628\u0642\u0647\u200c\u0628\u0646\u062f\u06cc \u0628\u0631\u062f\u0627\u0631 \u067e\u0634\u062a\u06cc\u0628\u0627\u0646\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u062e\u0648\u0627\u0647\u06cc\u0645 \u06a9\u0631\u062f.  \u0645\u0627 \u0645\u062a\u0646\u0627\u0633\u0628 \u0628\u0627 \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u06a9\u0646\u0646\u062f\u0647 \u0647\u0627 \u0647\u0633\u062a\u06cc\u0645 \u0631\u0648\u06cc \u062f\u0627\u062f\u0647 \u0647\u0627 \u0648 \u0633\u067e\u0633 \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0647\u0627 \u0631\u0627 \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0645\u062a\u063a\u06cc\u0631 \u0630\u062e\u06cc\u0631\u0647 \u06a9\u0646\u06cc\u062f.  \u0633\u067e\u0633 \u0628\u0647 \u0633\u0627\u062f\u06af\u06cc \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0647\u0627 \u0631\u0627 \u0628\u0627 \u0647\u0645 \u062c\u0645\u0639 \u06a9\u0631\u062f\u0647 \u0648 \u062a\u0642\u0633\u06cc\u0645 \u0645\u06cc \u06a9\u0646\u06cc\u0645:<\/p>\n<pre><code class=\"hljs\">LogReg_clf = LogisticRegression()\nDTree_clf = DecisionTreeClassifier()\nSVC_clf = SVC()\n\nLogReg_clf.fit(X_train, y_train)\nDTree_clf.fit(X_train, y_train)\nSVC_clf.fit(X_train, y_train)\n\nLogReg_pred = LogReg_clf.predict(X_val)\nDTree_pred = DTree_clf.predict(X_val)\nSVC_pred = SVC_clf.predict(X_val)\n\naveraged_preds = (LogReg_pred + DTree_pred + SVC_pred)\/\/<span class=\"hljs-number\">3<\/span>\nacc = accuracy_score(y_val, averaged_preds)\n<span class=\"hljs-built_in\">print<\/span>(acc)\n<\/code><\/pre>\n<p>\u062f\u0642\u062a\u06cc \u06a9\u0647 \u0627\u0632 \u0627\u06cc\u0646 \u0631\u0648\u0634 \u0628\u0647 \u062f\u0633\u062a \u0622\u0648\u0631\u062f\u06cc\u0645 \u062f\u0631 \u0627\u06cc\u0646\u062c\u0627 \u0622\u0645\u062f\u0647 \u0627\u0633\u062a:<\/p>\n<pre><code class=\"hljs\">0.8444444444444444\n<\/code><\/pre>\n<h3 id=\"votingstackingclassificationexample\"><span class=\"ez-toc-section\" id=\"%d9%85%d8%ab%d8%a7%d9%84_%d8%b7%d8%a8%d9%82%d9%87_%d8%a8%d9%86%d8%af%db%8c_votingstacking\"><\/span>\u0645\u062b\u0627\u0644 \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc Voting\\Stacking<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u0648\u0642\u062a\u06cc \u0646\u0648\u0628\u062a \u0628\u0647 \u0627\u06cc\u062c\u0627\u062f \u06cc\u06a9 \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u06a9\u0646\u0646\u062f\u0647 \u0627\u0646\u0628\u0627\u0634\u062a\u0647\/\u0631\u0627\u06cc \u06af\u06cc\u0631\u06cc \u0645\u06cc \u0631\u0633\u062f\u060c Scikit-Learn \u0628\u0631\u062e\u06cc \u0627\u0632 \u062a\u0648\u0627\u0628\u0639 \u0645\u0641\u06cc\u062f \u0631\u0627 \u062f\u0631 \u0627\u062e\u062a\u06cc\u0627\u0631 \u0645\u0627 \u0642\u0631\u0627\u0631 \u0645\u06cc \u062f\u0647\u062f \u06a9\u0647 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u0628\u0631\u0627\u06cc \u0627\u0646\u062c\u0627\u0645 \u0627\u06cc\u0646 \u06a9\u0627\u0631 \u0627\u0632 \u0622\u0646\u0647\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u0645.<\/p>\n<p>\u0627\u06cc\u0646 <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/scikit-learn.org\/stable\/modules\/generated\/sklearn.ensemble.VotingClassifier.html\">VotingClassifier<\/a> \u0641\u0647\u0631\u0633\u062a\u06cc \u0627\u0632 \u0628\u0631\u0622\u0648\u0631\u062f\u06af\u0631\u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641 \u0631\u0627 \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0627\u0633\u062a\u062f\u0644\u0627\u0644 \u0648 \u0631\u0648\u0634 \u0631\u0627\u06cc \u06af\u06cc\u0631\u06cc \u062f\u0631 \u0646\u0638\u0631 \u0645\u06cc \u06af\u06cc\u0631\u062f.  \u0627\u06cc\u0646 <code>hard<\/code> \u0631\u0648\u0634 \u0631\u0627\u06cc \u06af\u06cc\u0631\u06cc \u0627\u0632 \u0628\u0631\u0686\u0633\u0628 \u0647\u0627\u06cc \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0634\u062f\u0647 \u0648 \u0633\u06cc\u0633\u062a\u0645 \u0642\u0648\u0627\u0646\u06cc\u0646 \u0627\u06a9\u062b\u0631\u06cc\u062a \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u06a9\u0646\u062f\u060c \u062f\u0631 \u062d\u0627\u0644\u06cc \u06a9\u0647 <code>soft<\/code> \u0631\u0648\u0634 \u0631\u0627\u06cc \u06af\u06cc\u0631\u06cc \u06cc\u06a9 \u0628\u0631\u0686\u0633\u0628 \u0631\u0627 \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0645\u06cc \u06a9\u0646\u062f \u0631\u0648\u06cc argmax\/\u0628\u0632\u0631\u06af\u062a\u0631\u06cc\u0646 \u0645\u0642\u062f\u0627\u0631 \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0634\u062f\u0647 \u0645\u062c\u0645\u0648\u0639 \u0627\u062d\u062a\u0645\u0627\u0644\u0627\u062a \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0634\u062f\u0647.<\/p>\n<p>\u067e\u0633 \u0627\u0632 \u0627\u06cc\u0646\u06a9\u0647 \u0637\u0628\u0642\u0647\u200c\u0628\u0646\u062f\u06cc\u200c\u06a9\u0646\u0646\u062f\u0647\u200c\u0647\u0627\u06cc \u0645\u0648\u0631\u062f \u0646\u0638\u0631 \u0631\u0627 \u0627\u0631\u0627\u0626\u0647 \u06a9\u0631\u062f\u06cc\u0645\u060c \u0628\u0627\u06cc\u062f \u0634\u06cc \u0637\u0628\u0642\u0647\u200c\u0628\u0646\u062f\u06cc\u200c\u06a9\u0646\u0646\u062f\u0647 \u0645\u062c\u0645\u0648\u0639\u0647\u200c\u0627\u06cc \u0631\u0627 \u06a9\u0647 \u0628\u0647 \u062f\u0633\u062a \u0645\u06cc\u200c\u0622\u06cc\u062f \u0628\u0631\u0627\u0632\u0634 \u06a9\u0646\u06cc\u0645.  \u0633\u067e\u0633 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0647\u0627 \u0631\u0627 \u0628\u062f\u0633\u062a \u0622\u0648\u0631\u06cc\u0645 \u0648 \u0627\u0632 \u0645\u0639\u06cc\u0627\u0631\u0647\u0627\u06cc \u062f\u0642\u062a \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u0645:<\/p>\n<pre><code class=\"hljs\">voting_clf = VotingClassifier(estimators=((<span class=\"hljs-string\">'SVC'<\/span>, SVC_clf), (<span class=\"hljs-string\">'DTree'<\/span>, DTree_clf), (<span class=\"hljs-string\">'LogReg'<\/span>, LogReg_clf)), voting=<span class=\"hljs-string\">'hard'<\/span>)\nvoting_clf.fit(X_train, y_train)\npreds = voting_clf.predict(X_val)\nacc = accuracy_score(y_val, preds)\nl_loss = log_loss(y_val, preds)\nf1 = f1_score(y_val, preds)\n\n<span class=\"hljs-built_in\">print<\/span>(<span class=\"hljs-string\">\"Accuracy is: \"<\/span> + <span class=\"hljs-built_in\">str<\/span>(acc))\n<span class=\"hljs-built_in\">print<\/span>(<span class=\"hljs-string\">\"Log Loss is: \"<\/span> + <span class=\"hljs-built_in\">str<\/span>(l_loss))\n<span class=\"hljs-built_in\">print<\/span>(<span class=\"hljs-string\">\"F1 Score is: \"<\/span> + <span class=\"hljs-built_in\">str<\/span>(f1))\n<\/code><\/pre>\n<p>\u062f\u0631 \u0627\u06cc\u0646\u062c\u0627 \u0686\u06cc\u0632\u06cc \u0627\u0633\u062a \u06a9\u0647 \u0645\u0639\u06cc\u0627\u0631\u0647\u0627 \u062f\u0631 \u0645\u0648\u0631\u062f \u0622\u0646 \u0645\u06cc \u06af\u0648\u06cc\u0646\u062f <code>VotingClassifier<\/code>\u0639\u0645\u0644\u06a9\u0631\u062f:<\/p>\n<pre><code class=\"hljs\">Accuracy is: 0.8888888888888888\nLog Loss is: 3.8376684749044165\nF1 Score is: 0.8484848484848486\n<\/code><\/pre>\n<h3 id=\"baggingclassificationexample\"><span class=\"ez-toc-section\" id=\"%d9%86%d9%85%d9%88%d9%86%d9%87_%d8%b7%d8%a8%d9%82%d9%87_%d8%a8%d9%86%d8%af%db%8c_%da%a9%db%8c%d8%b3%d9%87\"><\/span>\u0646\u0645\u0648\u0646\u0647 \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u06a9\u06cc\u0633\u0647<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u062f\u0631 \u0627\u06cc\u0646\u062c\u0627 \u0631\u0648\u0634 \u0627\u062c\u0631\u0627\u06cc \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u0628\u0633\u062a\u0647 \u0628\u0646\u062f\u06cc \u0628\u0627 Scikit-Learn \u0622\u0645\u062f\u0647 \u0627\u0633\u062a.  Sklearn&#8217;s <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/scikit-learn.org\/stable\/modules\/generated\/sklearn.ensemble.BaggingClassifier.html\">BaggingClassifier<\/a> \u06cc\u06a9 \u0645\u062f\u0644 \u0637\u0628\u0642\u0647\u200c\u0628\u0646\u062f\u06cc \u0627\u0646\u062a\u062e\u0627\u0628\u06cc \u0648 \u0647\u0645\u0686\u0646\u06cc\u0646 \u062a\u0639\u062f\u0627\u062f \u062a\u062e\u0645\u06cc\u0646\u200c\u06af\u0631\u0647\u0627\u06cc\u06cc \u0631\u0627 \u06a9\u0647 \u0645\u06cc\u200c\u062e\u0648\u0627\u0647\u06cc\u062f \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u062f \u062f\u0631 \u0646\u0638\u0631 \u0645\u06cc\u200c\u06af\u06cc\u0631\u062f &#8211; \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u06cc\u062f \u0627\u0632 \u0645\u062f\u0644\u06cc \u0645\u0627\u0646\u0646\u062f \u0631\u06af\u0631\u0633\u06cc\u0648\u0646 \u0644\u062c\u0633\u062a\u06cc\u06a9 \u06cc\u0627 \u062f\u0631\u062e\u062a\u200c\u0647\u0627\u06cc \u062a\u0635\u0645\u06cc\u0645 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u062f.<\/p>\n<p>Sklearn \u0647\u0645\u0686\u0646\u06cc\u0646 \u062f\u0633\u062a\u0631\u0633\u06cc \u0628\u0647 <code>RandomForestClassifier<\/code> \u0648 <code>ExtraTreesClassifier<\/code>\u060c \u06a9\u0647 \u0627\u0635\u0644\u0627\u062d\u0627\u062a \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u062f\u0631\u062e\u062a \u062a\u0635\u0645\u06cc\u0645 \u0647\u0633\u062a\u0646\u062f.  \u0627\u06cc\u0646 \u0637\u0628\u0642\u0647\u200c\u0628\u0646\u062f\u06cc\u200c\u06a9\u0646\u0646\u062f\u0647\u200c\u0647\u0627 \u0647\u0645\u0686\u0646\u06cc\u0646 \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u0646\u062f \u062f\u0631 \u06a9\u0646\u0627\u0631 \u0627\u0628\u0632\u0627\u0631 \u0627\u0639\u062a\u0628\u0627\u0631\u0633\u0646\u062c\u06cc \u0645\u062a\u0642\u0627\u0637\u0639 K-folds \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0634\u0648\u0646\u062f.<\/p>\n<p>\u0645\u0627 \u062f\u0631 \u0627\u06cc\u0646\u062c\u0627 \u0686\u0646\u062f\u06cc\u0646 \u0631\u0648\u06cc\u06a9\u0631\u062f \u0645\u062e\u062a\u0644\u0641 \u0637\u0628\u0642\u0647\u200c\u0628\u0646\u062f\u06cc \u06a9\u06cc\u0633\u0647\u200c\u0628\u0646\u062f\u06cc \u0631\u0627 \u0628\u0627 \u0647\u0645 \u0645\u0642\u0627\u06cc\u0633\u0647 \u0645\u06cc\u200c\u06a9\u0646\u06cc\u0645 \u0648 \u0645\u06cc\u0627\u0646\u06af\u06cc\u0646 \u0646\u062a\u0627\u06cc\u062c \u0627\u0645\u062a\u06cc\u0627\u0632 \u0627\u0639\u062a\u0628\u0627\u0631\u0633\u0646\u062c\u06cc \u0645\u062a\u0642\u0627\u0637\u0639 K-fold \u0631\u0627 \u0686\u0627\u067e \u0645\u06cc\u200c\u06a9\u0646\u06cc\u0645:<\/p>\n<pre><code class=\"hljs\">logreg_bagging_model = BaggingClassifier(base_estimator=LogReg_clf, n_estimators=<span class=\"hljs-number\">50<\/span>, random_state=<span class=\"hljs-number\">12<\/span>)\ndtree_bagging_model = BaggingClassifier(base_estimator=DTree_clf, n_estimators=<span class=\"hljs-number\">50<\/span>, random_state=<span class=\"hljs-number\">12<\/span>)\nrandom_forest = RandomForestClassifier(n_estimators=<span class=\"hljs-number\">100<\/span>, random_state=<span class=\"hljs-number\">12<\/span>)\nextra_trees = ExtraTreesClassifier(n_estimators=<span class=\"hljs-number\">100<\/span>, random_state=<span class=\"hljs-number\">12<\/span>)\n\n<span class=\"hljs-function\"><span class=\"hljs-keyword\">def<\/span> <span class=\"hljs-title\">bagging_ensemble<\/span>(<span class=\"hljs-params\">model<\/span>):<\/span>\n    k_folds = KFold(n_splits=<span class=\"hljs-number\">20<\/span>, random_state=<span class=\"hljs-number\">12<\/span>)\n    results = cross_val_score(model, X_train, y_train, cv=k_folds)\n    <span class=\"hljs-built_in\">print<\/span>(results.mean())\n\nbagging_ensemble(logreg_bagging_model)\nbagging_ensemble(dtree_bagging_model)\nbagging_ensemble(random_forest)\nbagging_ensemble(extra_trees)\n<\/code><\/pre>\n<p>\u062f\u0631 \u0627\u06cc\u0646\u062c\u0627 \u0646\u062a\u0627\u06cc\u062c\u06cc \u06a9\u0647 \u0627\u0632 \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u06a9\u0646\u0646\u062f\u0647 \u0647\u0627 \u0628\u0647 \u062f\u0633\u062a \u0622\u0648\u0631\u062f\u06cc\u0645 \u0622\u0645\u062f\u0647 \u0627\u0633\u062a:<\/p>\n<pre><code class=\"hljs\">0.7865853658536585\n0.8102439024390244\n0.8002439024390245\n0.7902439024390244\n<\/code><\/pre>\n<h3 id=\"boostingclassificationexample\"><span class=\"ez-toc-section\" id=\"%d9%85%d8%ab%d8%a7%d9%84_%d8%aa%d9%82%d9%88%db%8c%d8%aa_%d8%b7%d8%a8%d9%82%d9%87_%d8%a8%d9%86%d8%af%db%8c\"><\/span>\u0645\u062b\u0627\u0644 \u062a\u0642\u0648\u06cc\u062a \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u062f\u0631 \u0646\u0647\u0627\u06cc\u062a\u060c \u0631\u0648\u0634 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0631\u0648\u0634 \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u062a\u0642\u0648\u06cc\u062a\u06cc \u0631\u0627 \u0628\u0631\u0631\u0633\u06cc \u062e\u0648\u0627\u0647\u06cc\u0645 \u06a9\u0631\u062f.  \u0647\u0645\u0627\u0646\u0637\u0648\u0631 \u06a9\u0647 \u06af\u0641\u062a\u0647 \u0634\u062f\u060c \u06cc\u06a9 \u0645\u0642\u0627\u0644\u0647 \u062c\u062f\u0627\u06af\u0627\u0646\u0647 \u0648\u062c\u0648\u062f \u062f\u0627\u0631\u062f \u0631\u0648\u06cc \u0645\u0648\u0636\u0648\u0639 \u0627\u0641\u0632\u0627\u06cc\u0634 \u06af\u0631\u0627\u062f\u06cc\u0627\u0646 \u0631\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u062f\u0631 \u0627\u06cc\u0646\u062c\u0627 \u0628\u062e\u0648\u0627\u0646\u06cc\u062f.<\/p>\n<p>Scikit-Learn \u062f\u0627\u0631\u0627\u06cc \u06cc\u06a9 \u062f\u0627\u062e\u0644\u06cc \u0627\u0633\u062a <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/scikit-learn.org\/stable\/modules\/generated\/sklearn.ensemble.AdaBoostClassifier.html\">\u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc AdaBoost<\/a>\u060c \u06a9\u0647 \u062a\u0639\u062f\u0627\u062f \u0645\u0639\u06cc\u0646\u06cc \u0627\u0632 \u0628\u0631\u0622\u0648\u0631\u062f\u06af\u0631\u0647\u0627 \u0631\u0627 \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0627\u0648\u0644\u06cc\u0646 \u0622\u0631\u06af\u0648\u0645\u0627\u0646 \u062f\u0631 \u0646\u0638\u0631 \u0645\u06cc \u06af\u06cc\u0631\u062f.  \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u06cc\u0645 \u0627\u0632 \u06cc\u06a9 \u062d\u0644\u0642\u0647 for \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u0645 \u062a\u0627 \u0628\u0628\u06cc\u0646\u06cc\u0645 \u0639\u0645\u0644\u06a9\u0631\u062f \u0637\u0628\u0642\u0647\u200c\u0628\u0646\u062f\u06cc \u0686\u06af\u0648\u0646\u0647 \u062f\u0631 \u0645\u0642\u0627\u062f\u06cc\u0631 \u0645\u062e\u062a\u0644\u0641 \u062a\u063a\u06cc\u06cc\u0631 \u0645\u06cc\u200c\u06a9\u0646\u062f\u060c \u0648 \u0647\u0645\u0686\u0646\u06cc\u0646 \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u06cc\u0645 \u0622\u0646 \u0631\u0627 \u0628\u0627 \u0627\u0628\u0632\u0627\u0631 \u0627\u0639\u062a\u0628\u0627\u0631\u0633\u0646\u062c\u06cc \u0645\u062a\u0642\u0627\u0637\u0639 K-Folds \u062a\u0631\u06a9\u06cc\u0628 \u06a9\u0646\u06cc\u0645:<\/p>\n<pre><code class=\"hljs\">k_folds = KFold(n_splits=<span class=\"hljs-number\">20<\/span>, random_state=<span class=\"hljs-number\">12<\/span>)\n\nnum_estimators = (<span class=\"hljs-number\">20<\/span>, <span class=\"hljs-number\">40<\/span>, <span class=\"hljs-number\">60<\/span>, <span class=\"hljs-number\">80<\/span>, <span class=\"hljs-number\">100<\/span>)\n\n<span class=\"hljs-keyword\">for<\/span> i <span class=\"hljs-keyword\">in<\/span> num_estimators:\n    ada_boost = AdaBoostClassifier(n_estimators=i, random_state=<span class=\"hljs-number\">12<\/span>)\n    results = cross_val_score(ada_boost, X_train, y_train, cv=k_folds)\n    <span class=\"hljs-built_in\">print<\/span>(<span class=\"hljs-string\">\"Results for {} estimators:\"<\/span>.<span class=\"hljs-built_in\">format<\/span>(i))\n    <span class=\"hljs-built_in\">print<\/span>(results.mean())\n<\/code><\/pre>\n<p>\u062f\u0631 \u0627\u06cc\u0646\u062c\u0627 \u0646\u062a\u0627\u06cc\u062c\u06cc \u06a9\u0647 \u0628\u0647 \u062f\u0633\u062a \u0622\u0648\u0631\u062f\u06cc\u0645 \u0622\u0645\u062f\u0647 \u0627\u0633\u062a:<\/p>\n<pre><code class=\"hljs\">Results for 20 estimators:\n0.8015243902439024\nResults for 40 estimators:\n0.8052743902439025\nResults for 60 estimators:\n0.8053048780487805\nResults for 80 estimators:\n0.8040243902439024\nResults for 100 estimators:\n0.8027743902439024\n<\/code><\/pre>\n<h2 id=\"summingup\"><span class=\"ez-toc-section\" id=\"%d8%ac%d9%85%d8%b9_%d8%a8%d9%86%d8%af%db%8c\"><\/span>\u062c\u0645\u0639 \u0628\u0646\u062f\u06cc<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u0645\u0627 \u0627\u06cc\u062f\u0647\u200c\u0647\u0627\u06cc \u067e\u0634\u062a \u0633\u0647 \u062a\u06a9\u0646\u06cc\u06a9 \u0637\u0628\u0642\u0647\u200c\u0628\u0646\u062f\u06cc \u06af\u0631\u0648\u0647\u06cc \u0645\u062e\u062a\u0644\u0641 \u0631\u0627 \u067e\u0648\u0634\u0634 \u062f\u0627\u062f\u0647\u200c\u0627\u06cc\u0645: \u0631\u0627\u06cc \u062f\u0627\u062f\u0646\/\u0627\u0646\u0628\u0627\u0634\u062a\u0646\u060c \u0628\u0633\u062a\u0647\u200c\u0628\u0646\u062f\u06cc \u0648 \u062a\u0642\u0648\u06cc\u062a.<\/p>\n<p>Scikit-Learn \u0628\u0647 \u0634\u0645\u0627 \u0627\u06cc\u0646 \u0627\u0645\u06a9\u0627\u0646 \u0631\u0627 \u0645\u06cc \u062f\u0647\u062f \u06a9\u0647 \u0628\u0647 \u0631\u0627\u062d\u062a\u06cc \u0646\u0645\u0648\u0646\u0647 \u0647\u0627\u06cc\u06cc \u0627\u0632 \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u06a9\u0646\u0646\u062f\u0647 \u0647\u0627\u06cc \u06af\u0631\u0648\u0647 \u0645\u062e\u062a\u0644\u0641 \u0627\u06cc\u062c\u0627\u062f \u06a9\u0646\u06cc\u062f.  \u0627\u06cc\u0646 \u0627\u0634\u06cc\u0627\u0621 \u0645\u062c\u0645\u0648\u0639\u0647 \u0631\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646 \u0628\u0627 \u0633\u0627\u06cc\u0631 \u0627\u0628\u0632\u0627\u0631\u0647\u0627\u06cc Scikit-Learn \u0645\u0627\u0646\u0646\u062f \u0627\u0639\u062a\u0628\u0627\u0631\u0633\u0646\u062c\u06cc \u0645\u062a\u0642\u0627\u0628\u0644 K-Folds \u062a\u0631\u06a9\u06cc\u0628 \u06a9\u0631\u062f.<\/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                    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(0 \u0631\u0627\u06cc)&quot;,&quot;size&quot;:&quot;30&quot;,&quot;title&quot;:&quot;\u062f\u0633\u062a\u0647 \u0628\u0646\u062f\u06cc \u06af\u0631\u0648\u0647\\\/\u0631\u0627\u06cc \u06af\u06cc\u0631\u06cc \u062f\u0631 \u067e\u0627\u06cc\u062a\u0648\u0646 \u0628\u0627 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\"> 8<\/span> <span class=\"rt-label rt-postfix\">\u062f\u0642\u06cc\u0642\u0647<\/span><\/span>\u0645\u0639\u0631\u0641\u06cc \u0645\u062f\u0644 \u0647\u0627\u06cc \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u0645\u062c\u0645\u0648\u0639\u0647 \u0645\u06cc \u062a\u0648\u0627\u0646\u0646\u062f \u0627\u0628\u0632\u0627\u0631\u0647\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646\u06cc \u0642\u062f\u0631\u062a\u0645\u0646\u062f\u06cc \u0628\u0627\u0634\u0646\u062f \u06a9\u0647 \u0642\u0627\u062f\u0631 \u0628\u0647 \u062f\u0633\u062a\u06cc\u0627\u0628\u06cc \u0628\u0647 \u0639\u0645\u0644\u06a9\u0631\u062f \u0639\u0627\u0644\u06cc \u0648 \u062a\u0639\u0645\u06cc\u0645 \u062e\u0648\u0628\u06cc \u0628\u0647 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u062c\u062f\u06cc\u062f \u0648 \u062f\u06cc\u062f\u0647 \u0646\u0634\u062f\u0647 \u0647\u0633\u062a\u0646\u062f. \u0627\u0631\u0632\u0634 \u06cc\u06a9 \u0637\u0628\u0642\u0647\u200c\u0628\u0646\u062f\u06cc\u200c\u06a9\u0646\u0646\u062f\u0647 \u06af\u0631\u0648\u0647\u06cc \u062f\u0631 \u0627\u06cc\u0646 \u0627\u0633\u062a \u06a9\u0647 \u0628\u0627 \u067e\u06cc\u0648\u0633\u062a\u0646 \u0628\u0647 \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\u200c\u0647\u0627\u06cc \u0645\u062a\u0639\u062f\u062f\u060c \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u062f \u062e\u0637\u0627\u0647\u0627\u06cc \u0627\u06cc\u062c\u0627\u062f \u0634\u062f\u0647 \u062a\u0648\u0633\u0637 \u0647\u0631 \u0637\u0628\u0642\u0647\u200c\u0628\u0646\u062f\u06cc\u200c\u06a9\u0646\u0646\u062f\u0647 \u0631\u0627 \u062a\u0635\u062d\u06cc\u062d [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":15914,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1743,620],"tags":[],"class_list":["post-15913","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\/15913","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=15913"}],"version-history":[{"count":0,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/posts\/15913\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/media\/15914"}],"wp:attachment":[{"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/media?parent=15913"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/categories?post=15913"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/tags?post=15913"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}