{"id":2522,"date":"2019-10-28T20:33:31","date_gmt":"2019-10-28T11:33:31","guid":{"rendered":"https:\/\/analysis-navi.com\/?p=2522"},"modified":"2025-06-12T18:44:26","modified_gmt":"2025-06-12T09:44:26","slug":"python%e3%81%ab%e3%82%88%e3%82%8b%e3%83%a9%e3%83%b3%e3%83%80%e3%83%a0%e3%83%95%e3%82%a9%e3%83%ac%e3%82%b9%e3%83%88%e3%81%ae%e5%ae%9f%e8%a1%8c%e6%96%b9%e6%b3%95","status":"publish","type":"post","link":"https:\/\/analysis-navi.com\/?p=2522","title":{"rendered":"Python\u3067\u30e9\u30f3\u30c0\u30e0\u30d5\u30a9\u30ec\u30b9\u30c8\u3092\u5b9f\u884c\u3059\u308b\u65b9\u6cd5"},"content":{"rendered":"\n<p>Python\u3092\u4f7f\u3063\u3066\u30e9\u30f3\u30c0\u30e0\u30d5\u30a9\u30ec\u30b9\u30c8\u3092\u5b9f\u884c\u3057\u3066\u307f\u307e\u3059\u3002<br>\u6c7a\u5b9a\u6728\u5206\u6790\u3092\u57fa\u8abf\u3068\u3057\u305f\u624b\u6cd5\u306a\u306e\u3067\u3001\u5148\u306b<a href=\"https:\/\/analysis-navi.com\/?p=2007\">\u6c7a\u5b9a\u6728\u5206\u6790\u306e\u8a18\u4e8b<\/a>\u3092\u8aad\u3093\u3067\u9802\u3044\u3066\u304b\u3089\u306e\u65b9\u304c\u5206\u304b\u308a\u3084\u3059\u3044\u304b\u3082\u3057\u308c\u307e\u305b\u3093\u3002<\/p>\n\n\n\n<figure class=\"wp-block-embed is-type-wp-embed\"><div class=\"wp-block-embed__wrapper\">\nhttps:\/\/analysis-navi.com\/?p=2007\n<\/div><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">\u30e9\u30f3\u30c0\u30e0\u30d5\u30a9\u30ec\u30b9\u30c8\u3068\u306f<\/h2>\n\n\n\n<p>\u4e00\u8a00\u3067\u8a00\u3048\u3070<strong><span style=\"background-color: #87cefa;\">\u6c7a\u5b9a\u6728\u5206\u6790\u3092\u4f55\u5ea6\u3082\u884c\u3044\u3001\u591a\u6570\u6c7a\u3067\u6700\u7d42\u7d50\u679c\u3092\u6c7a\u3081\u308b\u624b\u6cd5<\/span><\/strong>\u3067\u3059\u3002<\/p>\n\n\n\n<p>\u3057\u304b\u3057\u540c\u3058\u30c7\u30fc\u30bf\u3067\u4f55\u56de\u3084\u3063\u3066\u3082\u7d50\u679c\u306f\u4e00\u7dd2\u306a\u306e\u3067\u3001\u4e0e\u3048\u305f\u6559\u5e2b\u30c7\u30fc\u30bf\u3092\u69d8\u3005\u306a\u30d1\u30bf\u30fc\u30f3\u3067\u90e8\u5206\u62bd\u51fa\u3057\u3066\u3001\u305d\u306e\u305d\u308c\u305e\u308c\u3067\u6c7a\u5b9a\u6728\u3092\u4f5c\u308a\u307e\u3059\u3002<br>\u540c\u69d8\u306b\u8aac\u660e\u5909\u6570\u3082\u5168\u3066\u3067\u306f\u306a\u304f\u3001\u4e00\u90e8\u3092\u62bd\u51fa\u3057\u307e\u3059\u3002<\/p>\n\n\n\n<p>\u30fb\u30fb\u30fb\u3053\u308c\u3092\u4f55\u56de\u3082\u884c\u3044\u3001\u6700\u7d42\u7684\u306b\u591a\u6570\u6c7a\u3092\u53d6\u308b\u3053\u3068\u306b\u3088\u3063\u3066\u3001\u3069\u306e\u5909\u6570\u304c\u5206\u985e\u306b\u91cd\u8981\u306a\u306e\u304b\u3092\u5224\u65ad\u3057\u307e\u3059\u3002<\/p>\n\n\n\n<p>\u30c7\u30fc\u30bf\u3084\u5909\u6570\u306e\u62bd\u51fa\u306f\u5b8c\u5168\u306b\u30e9\u30f3\u30c0\u30e0\u3067\u884c\u3044\u3001\u6c7a\u5b9a\u6728\u3092\u6ca2\u5c71\u4f5c\u3063\u3066\u8a55\u4fa1\u3059\u308b\u3053\u3068\u304b\u3089\u3001\u6728\u304c\u305f\u304f\u3055\u3093=\u68ee\u3068\u3044\u3046\u3053\u3068\u3067<strong>\u300c\u30e9\u30f3\u30c0\u30e0\u30d5\u30a9\u30ec\u30b9\u30c8\u300d<\/strong>\u3068\u3044\u3046\u624b\u6cd5\u540d\u304c\u4ed8\u3051\u3089\u308c\u307e\u3057\u305f\u3002<\/p>\n\n\n\n<p>\u6700\u7d42\u7684\u306b\u300c\u5206\u985e\u306b\u91cd\u8981\u306a\u5909\u6570\u300d\u3092\u77e5\u308b\u4e8b\u304c\u3067\u304d\u3001\u6027\u80fd\u306e\u826f\u3044\u5b66\u7fd2\u30e2\u30c7\u30eb\u304c\u4f5c\u6210\u3055\u308c\u308b\u4e8b\u304c\u591a\u3044\u3067\u3059\u3002<br>\u3057\u304b\u3057\u3001<strong><span style=\"background-color: #87cefa;\">\u6700\u5f8c\u306e\u30a2\u30a6\u30c8\u30d7\u30c3\u30c8\u3067\u6c7a\u5b9a\u6728\u81ea\u4f53\u304c\u51fa\u529b\u3055\u308c\u308b\u8a33\u3067\u306f\u306a\u3044<\/span><\/strong>\u306e\u3067\u3054\u6ce8\u610f\u4e0b\u3055\u3044\u3002<\/p>\n\n\n\n<p>\u5b66\u7fd2\u30e2\u30c7\u30eb\u306e\u4f5c\u6210\u76ee\u7684\u3067\u306f\u306a\u304f\u3001\u5b9f\u969b\u306e\u6c7a\u5b9a\u6728\u3092\u898b\u3066\u30c7\u30fc\u30bf\u306e\u50be\u5411\u3092\u5224\u65ad\u3057\u305f\u3044\u3001\u3068\u3044\u3046\u76ee\u7684\u306a\u3089\u3070\u901a\u5e38\u306e\u6c7a\u5b9a\u6728\u5206\u6790\u306e\u65b9\u304c\u826f\u3044\u3067\u3057\u3087\u3046\u3002<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Python\u306b\u3088\u308b\u5b9f\u884c<\/h2>\n\n\n\n<p>\u305d\u308c\u3067\u306f\u3001\u30e9\u30f3\u30c0\u30e0\u30d5\u30a9\u30ec\u30b9\u30c8\u3092Python\u3067\u5b9f\u884c\u3057\u3066\u307f\u307e\u3059\u3002<br>\u4eca\u56de\u306f\u3001sklearn\u306b\u6e96\u5099\u3055\u308c\u3066\u3044\u308b\u3001\u30a2\u30e4\u30e1\u306e\u54c1\u7a2e\u5206\u985e\u306e\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u7528\u3044\u3066\u307f\u307e\u3059\u3002<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">\u30c7\u30fc\u30bf\u306e\u6e96\u5099<\/h3>\n\n\n\n<p>sklearn\u306b\u521d\u671f\u642d\u8f09\u3055\u308c\u3066\u3044\u308b\u30c7\u30fc\u30bf\u3092\u8aad\u307f\u8fbc\u307e\u305b\u308b\u306e\u306f\u7c21\u5358\u3067\u3059\u3002<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">#\u30c7\u30fc\u30bf\u8aad\u307f\u8fbc\u307f\nfrom sklearn.datasets import load_iris\ndataset = load_iris()\nX, y = dataset.data, dataset.target<\/pre>\n\n\n\n<p>\u3053\u308c\u3067X\u306b\u5168\u3066\u306e\u8aac\u660e\u5909\u6570\u3001y\u306b\u5168\u3066\u306e\u76ee\u7684\u5909\u6570\u304c\u683c\u7d0d\u3055\u308c\u307e\u3059\u3002<\/p>\n\n\n\n<p>Excel\u3084CSV\u306e\u5f62\u5f0f\u3067\u3057\u305f\u3089\u3001<a href=\"https:\/\/analysis-navi.com\/?p=2007\">\u6c7a\u5b9a\u6728\u5206\u6790\u306e\u8a18\u4e8b<\/a>\u306a\u3069\u3092\u53c2\u8003\u306b\u3057\u3066pandas\u3092\u7528\u3044\u3066\u30c7\u30fc\u30bf\u3092\u8aad\u307f\u8fbc\u307e\u305b\u3066\u4e0b\u3055\u3044\u3002<\/p>\n\n\n\n<p>\u30c7\u30fc\u30bf\u3092\u8aad\u307f\u8fbc\u3093\u3060\u3089\u3001\u6559\u5e2b\u30c7\u30fc\u30bf\u3068\u8a55\u4fa1\u30c7\u30fc\u30bf\u306b\u5206\u5272\u3057\u307e\u3059\u3002<br>\u5206\u3051\u65b9\u306f\u81ea\u7531\u3067\u3059\u304c\u3001\u4ee5\u4e0b\u306e\u3088\u3046\u306b<strong>train_test_split<\/strong>\u30e1\u30bd\u30c3\u30c9\u3092\u7528\u3044\u308b\u306e\u304c\u7c21\u5358\u3067\u3059\u3002<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\"># \u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u5b66\u7fd2\u7528\u3068\u691c\u8a3c\u7528\u306b\u5206\u5272\u3059\u308b\nfrom sklearn.model_selection import train_test_split\nX_train, X_test, y_train, y_test = train_test_split(X, y,test_size=0.2,shuffle=True,random_state=0,stratify=y)<\/pre>\n\n\n\n<p>\u5f15\u6570\u306b\u3064\u3044\u3066\u306f<a href=\"https:\/\/analysis-navi.com\/?p=2520\">SVM\u306e\u8a18\u4e8b<\/a>\u3067\u8a18\u3057\u305f\u306e\u3068\u540c\u69d8\u306a\u306e\u3067\u3001\u3053\u3053\u3067\u306f\u5272\u611b\u3055\u305b\u3066\u9802\u304d\u307e\u3059\u3002<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">\u30e9\u30f3\u30c0\u30e0\u30d5\u30a9\u30ec\u30b9\u30c8\u306e\u5b9f\u884c<\/h3>\n\n\n\n<p>\u305d\u308c\u3067\u306f\u30e9\u30f3\u30c0\u30e0\u30d5\u30a9\u30ec\u30b9\u30c8\u3092\u5b9f\u884c\u3057\u307e\u3059\u3002<br>\u4f75\u305b\u3066\u6027\u80fd\u8a55\u4fa1\u307e\u3067\u4e00\u6c17\u306b\u884c\u3063\u3066\u3057\u307e\u3044\u307e\u3059\u3002<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">import numpy as np\nfrom sklearn.metrics import accuracy_score\nfrom sklearn.ensemble import RandomForestClassifier\n\nclf = RandomForestClassifier(n_estimators=200,max_depth=3,random_state=0)\nclf = clf.fit(X_train, y_train)\ny_test_pred = clf.predict(X_test)\n\nacc_score = accuracy_score(y_test,  y_test_pred)\nprint(np.round(acc_score,3))<\/pre>\n\n\n\n<p>\u5206\u985e\u554f\u984c\u3092\u89e3\u304f\u30e9\u30f3\u30c0\u30e0\u30d5\u30a9\u30ec\u30b9\u30c8\u3092\u5b9f\u884c\u3059\u308b\u306b\u306fsklearn\u306e<strong>RandomForestClassifier<\/strong>\u30e1\u30bd\u30c3\u30c9\u3092\u4f7f\u3044\u307e\u3059\u3002<br>\u5f15\u6570\u306e<strong>\u300cn_estimators\u300d<\/strong>\u306f\u6c7a\u5b9a\u6728\u306e\u4f5c\u6210\u56de\u6570\u3067\u3059\u3002\u7279\u306b\u6c7a\u307e\u308a\u306f\u3042\u308a\u307e\u305b\u3093\u304c\u3001\u30c7\u30d5\u30a9\u30eb\u30c8\u3067\u306f\u300c10\u56de\u300d\u3068\u306a\u3063\u3066\u3044\u307e\u3059\u3002<br>\u591a\u304f\u3066\u3082100\u56de\u7a0b\u5ea6\u56de\u3057\u3066\u304a\u3051\u3070\u3001\u305d\u308c\u4ee5\u4e0a\u306f\u307b\u3068\u3093\u3069\u6027\u80fd\u306f\u5909\u308f\u3089\u306a\u3044\u304b\u306a\u3068\u3044\u3046\u611f\u899a\u3067\u3059\u3002<\/p>\n\n\n\n<p><strong>\u300cmax_depth\u300d<\/strong>\u306f\u6c7a\u5b9a\u6728\u306e\u6df1\u3055\u3067\u3059\u3002<br>\u3053\u308c\u306f\u521d\u3081\u306b\u4eba\u9593\u304c\u6c7a\u3081\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002\u9069\u5207\u306a\u6570\u5024\u306f\u30c7\u30fc\u30bf\u3084\u5909\u6570\u306e\u91cf\u306b\u3088\u3063\u3066\u3082\u5909\u308f\u308a\u307e\u3059\u304c\u3001\u3072\u3068\u307e\u305a3,5,10\u3042\u305f\u308a\u3067\u5b9f\u9a13\u3057\u3066\u307f\u308b\u306e\u304c\u826f\u3044\u3067\u3057\u3087\u3046\u3002<\/p>\n\n\n\n<p>\u521d\u3081\u306b\u6e96\u5099\u3057\u305f\u8a55\u4fa1\u7528\u30c7\u30fc\u30bf\u3067\u3042\u308b<strong>y_test<\/strong>\u3068\u3001\u4f5c\u6210\u3057\u305f\u5b66\u7fd2\u30e2\u30c7\u30eb\u306b\u3088\u308b\u63a8\u8ad6\u7d50\u679c<strong>y_test_pred<\/strong>\u3092\u6bd4\u8f03\u3059\u308b\u3053\u3068\u306b\u3088\u308a\u3001\u6027\u80fd\u304c\u6e2c\u308c\u307e\u3059\u3002<\/p>\n\n\n\n<p>\u7d50\u679c\u3092\u898b\u3066\u307f\u308b\u3068\u30fb\u30fb\u30fb<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">0.933<\/pre>\n\n\n\n<p>93.3%\u3068\u3044\u3046\u9ad8\u3044\u5206\u985e\u6027\u80fd\u304c\u51fa\u3066\u3044\u308b\u3088\u3046\u3067\u3059\u3002<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">\u7d50\u679c(\u5206\u985e\u306b\u5927\u5207\u306a\u8981\u7d20)\u306e\u53ef\u8996\u5316<\/h3>\n\n\n\n<p>\u5148\u8ff0\u3057\u307e\u3057\u305f\u304c\u3001\u30e9\u30f3\u30c0\u30e0\u30d5\u30a9\u30ec\u30b9\u30c8\u3067\u306f\u904e\u7a0b\u3067\u69d8\u3005\u306a\u6c7a\u5b9a\u6728\u3092\u4f5c\u6210\u3059\u308b\u306e\u3067\u3001<strong>\u300c\u6700\u7d42\u7684\u306a\u6c7a\u5b9a\u6728\u300d<\/strong>\u3068\u3044\u3046\u3082\u306e\u306f\u5b58\u5728\u3057\u307e\u305b\u3093\u3002<br>\u3057\u304b\u3057\u3001\u305d\u306e\u4ee3\u308f\u308a\u306b<strong>\u300c\u5206\u985e\u306b\u5927\u5207\u306a\u8981\u7d20\u300d<\/strong>\u3092\u898b\u308b\u3053\u3068\u306f\u3067\u304d\u307e\u3059\u3002<br>\u4eca\u56de\u306f\u8981\u7d20\u306e\u91cd\u8981\u5ea6\u3092\u68d2\u30b0\u30e9\u30d5\u3067\u8868\u793a\u3057\u3066\u307f\u307e\u3059\u3002<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">#\u91cd\u8981\u306a\u5909\u6570\u306e\u53ef\u8996\u5316\nimport matplotlib.pyplot as plt\n\nfeatures = np.array(dataset.feature_names)\nimportances = clf.feature_importances_\nindices = np.argsort(importances)\n\nplt.figure()\nplt.barh(range(len(indices)), importances[indices], color='b', align='center')\nplt.yticks(range(len(indices)), features[indices])\nplt.show()<\/pre>\n\n\n\n<p>\u7d50\u679c\u3092\u898b\u3066\u307f\u308b\u3068\u30fb\u30fb\u30fb<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" width=\"934\" height=\"518\" src=\"https:\/\/analysis-navi.com\/wp-content\/uploads\/2019\/10\/4fbbc0dff496973411ee2c08c77c69e5.png\" alt=\"\" class=\"wp-image-2739\" srcset=\"https:\/\/analysis-navi.com\/wp-content\/uploads\/2019\/10\/4fbbc0dff496973411ee2c08c77c69e5.png 934w, https:\/\/analysis-navi.com\/wp-content\/uploads\/2019\/10\/4fbbc0dff496973411ee2c08c77c69e5-658x365.png 658w, https:\/\/analysis-navi.com\/wp-content\/uploads\/2019\/10\/4fbbc0dff496973411ee2c08c77c69e5-300x166.png 300w, https:\/\/analysis-navi.com\/wp-content\/uploads\/2019\/10\/4fbbc0dff496973411ee2c08c77c69e5-768x426.png 768w\" sizes=\"(max-width: 934px) 100vw, 934px\" \/><\/figure>\n\n\n\n\n\n\n\n<p>petal width\u3001\u3064\u307e\u308a<strong><span style=\"background-color: #87cefa;\">\u30a2\u30e4\u30e1\u306e\u5206\u985e\u306b\u306f\u82b1\u3073\u3089\u306e\u9577\u3055\u304c\u6700\u3082\u91cd\u8981\u306a\u8981\u7d20<\/span><\/strong>\u3067\u3042\u308b\u4e8b\u304c\u5206\u304b\u308a\u307e\u3057\u305f\u3002<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">\u304a\u308f\u308a\u306b<\/h2>\n\n\n\n<p>\u4ee5\u4e0a\u3001\u30e9\u30f3\u30c0\u30e0\u30d5\u30a9\u30ec\u30b9\u30c8\u3092Python\u3067\u5b9f\u884c\u3059\u308b\u65b9\u6cd5\u3067\u3057\u305f\u3002<\/p>\n\n\n\n<p>\u6c7a\u5b9a\u6728\u5206\u6790\u3092\u30d1\u30ef\u30fc\u30a2\u30c3\u30d7\u3055\u305b\u305f\u3082\u306e\u304c\u30e9\u30f3\u30c0\u30e0\u30d5\u30a9\u30ec\u30b9\u30c8\u3001\u3068\u3044\u3046\u3088\u3046\u306a\u89e3\u8aac\u304c\u306a\u3055\u308c\u308b\u5834\u5408\u304c\u3042\u308a\u307e\u3059\u304c\u3001<strong><span style=\"background-color: 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