{"id":13636,"date":"2024-01-02T15:30:13","date_gmt":"2024-01-02T12:00:13","guid":{"rendered":"https:\/\/rasanegar.com\/blog\/%d8%aa%d8%b1%d8%b3%db%8c%d9%85-%d8%af%d8%b1%d8%ae%d8%aa%d8%a7%d9%86-%d8%aa%d8%b5%d9%85%db%8c%d9%85-%d8%a8%d8%a7-%d8%a7%d8%b3%d8%aa%d9%81%d8%a7%d8%af%d9%87-%d8%a7%d8%b2-python-%d9%88-scikit-learn\/"},"modified":"2024-01-02T15:30:13","modified_gmt":"2024-01-02T12:00:13","slug":"%d8%aa%d8%b1%d8%b3%db%8c%d9%85-%d8%af%d8%b1%d8%ae%d8%aa%d8%a7%d9%86-%d8%aa%d8%b5%d9%85%db%8c%d9%85-%d8%a8%d8%a7-%d8%a7%d8%b3%d8%aa%d9%81%d8%a7%d8%af%d9%87-%d8%a7%d8%b2-python-%d9%88-scikit-learn","status":"publish","type":"post","link":"https:\/\/rasanegaar.com\/blog\/%d8%aa%d8%b1%d8%b3%db%8c%d9%85-%d8%af%d8%b1%d8%ae%d8%aa%d8%a7%d9%86-%d8%aa%d8%b5%d9%85%db%8c%d9%85-%d8%a8%d8%a7-%d8%a7%d8%b3%d8%aa%d9%81%d8%a7%d8%af%d9%87-%d8%a7%d8%b2-python-%d9%88-scikit-learn\/","title":{"rendered":"\u062a\u0631\u0633\u06cc\u0645 \u062f\u0631\u062e\u062a\u0627\u0646 \u062a\u0635\u0645\u06cc\u0645 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 Python \u0648 Scikit-Learn"},"content":{"rendered":"<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\"> 2<\/span> <span class=\"rt-label rt-postfix\">\u062f\u0642\u06cc\u0642\u0647<\/span><\/span><p> <br \/>\n<\/p>\n<div><noscript><\/noscript><\/p>\n<p>\u062f\u0631\u062e\u062a\u0627\u0646 \u062a\u0635\u0645\u06cc\u0645 \u0628\u0647 \u0637\u0648\u0631 \u06af\u0633\u062a\u0631\u062f\u0647 \u062f\u0631 \u0645\u0633\u0627\u0626\u0644 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u0634\u0648\u0646\u062f.  \u0645\u0627 \u0641\u0631\u0636 \u0645\u06cc \u06a9\u0646\u06cc\u0645 \u06a9\u0647 \u0634\u0645\u0627 \u0642\u0628\u0644\u0627\u064b 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\u0631\u0627 \u0628\u0627\u0631\u06af\u0630\u0627\u0631\u06cc \u0645\u06cc \u06a9\u0646\u06cc\u0645 \u0648 \u0622\u0646 \u0631\u0627 \u0628\u0647 \u0645\u062c\u0645\u0648\u0639\u0647 \u0647\u0627\u06cc \u0642\u0637\u0627\u0631 \u0648 \u0622\u0632\u0645\u0627\u06cc\u0634 \u062a\u0642\u0633\u06cc\u0645 \u0645\u06cc \u06a9\u0646\u06cc\u0645:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">from<\/span> sklearn <span class=\"hljs-keyword\">import<\/span> datasets\n<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>\n\ndata = datasets.load_wine()\nX = data.data\ny = data.target\n\nX_train, X_test, y_train, y_test = train_test_split(X, y, random_state=SEED)\n<\/code><\/pre>\n<p>\u0627\u06a9\u0646\u0648\u0646 \u06a9\u0647 \u062f\u0627\u062f\u0647\u200c\u0647\u0627\u06cc \u0627\u0633\u0628\u0627\u0628\u200c\u0628\u0627\u0632\u06cc \u062a\u0642\u0633\u06cc\u0645 \u0634\u062f\u0647 \u0627\u0633\u062a\u060c \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u06cc\u0645 \u0645\u062f\u0644 \u062f\u0631\u062e\u062a \u062a\u0635\u0645\u06cc\u0645 \u0631\u0627 \u0645\u0637\u0627\u0628\u0642\u062a \u062f\u0647\u06cc\u0645:<\/p>\n<pre><code class=\"hljs\">dt = DecisionTreeClassifier(max_depth=<span class=\"hljs-number\">4<\/span>,\n                            random_state=SEED)\ndt.fit(X_train, y_train)\n<\/code><\/pre>\n<p>\u0639\u0627\u0644\u06cc!  \u062a\u0648\u062c\u0647 \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u06cc\u062f \u06a9\u0647 \u0645\u0627 \u062d\u062f\u0627\u06a9\u062b\u0631 \u0639\u0645\u0642 4 \u0631\u0627 \u062a\u0639\u0631\u06cc\u0641 \u06a9\u0631\u062f\u0647 \u0627\u06cc\u0645\u060c \u0628\u0647 \u0627\u06cc\u0646 \u0645\u0639\u0646\u06cc \u06a9\u0647 \u062f\u0631\u062e\u062a \u062a\u0648\u0644\u06cc\u062f \u0634\u062f\u0647 \u062f\u0627\u0631\u0627\u06cc 5 \u0633\u0637\u062d \u062e\u0648\u0627\u0647\u062f \u0628\u0648\u062f.  \u0627\u06cc\u0646 \u0628\u0647 \u062a\u0641\u0633\u06cc\u0631\u067e\u0630\u06cc\u0631\u06cc \u0647\u0646\u06af\u0627\u0645 \u062a\u0631\u0633\u06cc\u0645 \u06a9\u0645\u06a9 \u0645\u06cc \u06a9\u0646\u062f\u060c \u0632\u06cc\u0631\u0627 \u0645\u0627 \u0641\u0642\u0637 5 \u0633\u0637\u062d \u0628\u0631\u0627\u06cc \u062e\u0648\u0627\u0646\u062f\u0646 \u062e\u0648\u0627\u0647\u06cc\u0645 \u062f\u0627\u0634\u062a.<\/p>\n<p>\u0627\u06a9\u0646\u0648\u0646\u060c \u0628\u0631\u0627\u06cc \u062a\u0631\u0633\u06cc\u0645 \u062f\u0631\u062e\u062a \u0648 \u0628\u062f\u0633\u062a \u0622\u0648\u0631\u062f\u0646 \u0634\u06a9\u0627\u0641 \u0647\u0627\u06cc \u0632\u06cc\u0631\u06cc\u0646 \u0633\u0627\u062e\u062a\u0647 \u0634\u062f\u0647 \u062a\u0648\u0633\u0637 \u0645\u062f\u0644\u060c \u0627\u0632 Scikit-Learn \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u06a9\u0646\u06cc\u0645. <code>plot_tree()<\/code> \u0631\u0648\u0634 \u0648 <code>matplotlib<\/code> \u0628\u0631\u0627\u06cc \u062a\u0639\u06cc\u06cc\u0646 \u0627\u0646\u062f\u0627\u0632\u0647 \u0628\u0631\u0627\u06cc \u0637\u0631\u062d<\/p>\n<p>\u0634\u0645\u0627 \u0645\u062f\u0644 \u0645\u0646\u0627\u0633\u0628 \u0631\u0627 \u0628\u0647 <code>plot_tree()<\/code> \u0631\u0648\u0634 \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0627\u0633\u062a\u062f\u0644\u0627\u0644 \u0627\u0635\u0644\u06cc  \u0647\u0645\u0686\u0646\u06cc\u0646 \u0646\u0627\u0645 \u0648\u06cc\u0698\u06af\u06cc\u200c\u0647\u0627 \u0648 \u06a9\u0644\u0627\u0633\u200c\u0647\u0627 \u0631\u0627 \u0627\u0631\u0633\u0627\u0644 \u0645\u06cc\u200c\u06a9\u0646\u06cc\u0645 \u0648 \u0637\u0631\u062d \u0631\u0627 \u0637\u0648\u0631\u06cc \u0633\u0641\u0627\u0631\u0634\u06cc \u0645\u06cc\u200c\u06a9\u0646\u06cc\u0645 \u06a9\u0647 \u0647\u0631 \u062f\u0631\u062e\u062a node \u0628\u0627 \u0644\u0628\u0647\u200c\u0647\u0627\u06cc \u06af\u0631\u062f \u0646\u0645\u0627\u06cc\u0634 \u062f\u0627\u062f\u0647 \u0645\u06cc\u200c\u0634\u0648\u062f\u060c \u0628\u0627 \u062a\u0648\u062c\u0647 \u0628\u0647 \u06a9\u0644\u0627\u0633\u200c\u0647\u0627 \u0628\u0627 \u0631\u0646\u06af\u200c\u0647\u0627 \u067e\u0631 \u0634\u062f\u0647 \u0648 \u0646\u0633\u0628\u062a \u0647\u0631 \u06a9\u0644\u0627\u0633 \u062f\u0631 \u0647\u0631 \u06a9\u0644\u0627\u0633 \u0646\u0645\u0627\u06cc\u0634 \u062f\u0627\u062f\u0647 \u0645\u06cc\u200c\u0634\u0648\u062f. node:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">from<\/span> sklearn.tree <span class=\"hljs-keyword\">import<\/span> plot_tree\n<span class=\"hljs-keyword\">import<\/span> matplotlib.pyplot <span class=\"hljs-keyword\">as<\/span> plt\n\nfeatures = data.feature_names\nclasses = data.target_names\n\nplt.figure(figsize=(<span class=\"hljs-number\">10<\/span>, <span class=\"hljs-number\">8<\/span>))\nplot_tree(dt,\n          feature_names=features,\n          class_names=classes,\n          rounded=<span class=\"hljs-literal\">True<\/span>, \n          filled=<span class=\"hljs-literal\">True<\/span>, \n          proportion=<span class=\"hljs-literal\">True<\/span>); \n<\/code><\/pre>\n<p><img decoding=\"async\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/plot-decision-trees-using-python-and-scikit-learn-1.png\" alt=\"\" title=\"\"><\/p>\n<p>\u062a\u0645\u0627\u0645\u060c \u0627\u06cc\u0646 \u062f\u0631\u062e\u062a \u0632\u06cc\u0631\u06cc\u0646 \u0631\u0633\u0645 \u0634\u062f\u0647 \u0628\u0631\u0627\u06cc \u0627\u06cc\u0646 \u0645\u062f\u0644 \u0627\u0633\u062a!<\/p>\n<p>\u062a\u0648\u062c\u0647 \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u06cc\u062f \u06a9\u0647 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0628\u0628\u06cc\u0646\u06cc\u062f \u06a9\u0647 \u0627\u0648\u0644\u06cc\u0646 \u0648\u06cc\u0698\u06af\u06cc \u062f\u0631\u062e\u062a \u0628\u0631\u0627\u06cc \u062a\u0645\u0627\u06cc\u0632 \u0628\u06cc\u0646 \u0634\u0631\u0627\u0628 \u0647\u0627 \u0634\u062f\u062a \u0631\u0646\u06af \u0648 \u0628\u0647 \u062f\u0646\u0628\u0627\u0644 \u0622\u0646 \u0645\u0642\u062f\u0627\u0631 \u067e\u0631\u0648\u0644\u06cc\u0646 \u0648 \u0641\u0644\u0627\u0648\u0646\u0648\u0626\u06cc\u062f\u0647\u0627 \u0627\u0633\u062a.  \u0647\u0645\u0686\u0646\u06cc\u0646\u060c \u0627\u0632 \u0622\u0646\u062c\u0627\u06cc\u06cc \u06a9\u0647 \u062f\u0631\u062e\u062a \u0631\u0627 \u067e\u0631 \u06a9\u0631\u062f\u0647 \u0627\u06cc\u0645\u060c <code>class_0<\/code> \u06af\u0631\u0647 \u0647\u0627 \u0646\u0627\u0631\u0646\u062c\u06cc \u0647\u0633\u062a\u0646\u062f\u060c <code>class_1<\/code> \u06af\u0631\u0647 \u0647\u0627 \u0633\u0628\u0632 \u0647\u0633\u062a\u0646\u062f \u0648 <code>class_2<\/code> \u06af\u0631\u0647 \u0647\u0627 \u0628\u0646\u0641\u0634 \u0647\u0633\u062a\u0646\u062f<\/p>\n<\/p><\/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 1403-01-02 15:30:06<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;13636&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;\u062a\u0631\u0633\u06cc\u0645 \u062f\u0631\u062e\u062a\u0627\u0646 \u062a\u0635\u0645\u06cc\u0645 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 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        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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\"> 2<\/span> <span class=\"rt-label rt-postfix\">\u062f\u0642\u06cc\u0642\u0647<\/span><\/span>\u062f\u0631\u062e\u062a\u0627\u0646 \u062a\u0635\u0645\u06cc\u0645 \u0628\u0647 \u0637\u0648\u0631 \u06af\u0633\u062a\u0631\u062f\u0647 \u062f\u0631 \u0645\u0633\u0627\u0626\u0644 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u0634\u0648\u0646\u062f. \u0645\u0627 \u0641\u0631\u0636 \u0645\u06cc \u06a9\u0646\u06cc\u0645 \u06a9\u0647 \u0634\u0645\u0627 \u0642\u0628\u0644\u0627\u064b \u0628\u0627 \u0645\u0641\u0647\u0648\u0645 \u062f\u0631\u062e\u062a \u062a\u0635\u0645\u06cc\u0645 \u0622\u0634\u0646\u0627 \u0647\u0633\u062a\u06cc\u062f \u0648 \u0628\u0647 \u062a\u0627\u0632\u06af\u06cc \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u0645\u0628\u062a\u0646\u06cc \u0628\u0631 \u062f\u0631\u062e\u062a \u062e\u0648\u062f \u0631\u0627 \u0622\u0645\u0648\u0632\u0634 \u062f\u0627\u062f\u0647 \u0627\u06cc\u062f! \u062d\u0627\u0644\u0627 \u0648\u0642\u062a \u0622\u0646 \u0627\u0633\u062a \u06a9\u0647 \u0633\u0639\u06cc \u06a9\u0646\u06cc\u0645 \u062a\u0648\u0636\u06cc\u062d \u062f\u0647\u06cc\u0645 \u062f\u0631\u062e\u062a \u0686\u06af\u0648\u0646\u0647 \u0628\u0647 \u062a\u0635\u0645\u06cc\u0645\u06cc \u0631\u0633\u06cc\u062f\u0647 \u0627\u0633\u062a. \u0627\u06cc\u0646 \u0628\u062f\u0627\u0646 \u0645\u0639\u0646\u06cc [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":13637,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1743,620],"tags":[],"class_list":["post-13636","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\/13636","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=13636"}],"version-history":[{"count":0,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/posts\/13636\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/media\/13637"}],"wp:attachment":[{"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/media?parent=13636"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/categories?post=13636"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/tags?post=13636"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}