{"id":28829,"date":"2024-10-27T16:15:17","date_gmt":"2024-10-27T16:15:17","guid":{"rendered":"http:\/\/atmokpo.com\/w\/?p=28829"},"modified":"2024-11-26T06:57:12","modified_gmt":"2024-11-26T06:57:12","slug":"%eb%a8%b8%ec%8b%a0%eb%9f%ac%eb%8b%9d-%eb%b0%8f-%eb%94%a5%eb%9f%ac%eb%8b%9d-%ec%95%8c%ea%b3%a0%eb%a6%ac%ec%a6%98-%ed%8a%b8%eb%a0%88%ec%9d%b4%eb%94%a9-%ea%b3%b5%ec%a0%81%eb%b6%84%ec%9d%84-%ed%99%9c","status":"publish","type":"post","link":"https:\/\/atmokpo.com\/w\/28829\/","title":{"rendered":"\uba38\uc2e0\ub7ec\ub2dd \ubc0f \ub525\ub7ec\ub2dd \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529, \uacf5\uc801\ubd84\uc744 \ud65c\uc6a9\ud55c \ud1b5\uacc4\uc801 \ucc28\uc775 \uac70\ub798"},"content":{"rendered":"<p><body><\/p>\n<p>\ud604\ub300\uc758 \uae08\uc735 \uc2dc\uc7a5\uc740 \ubcf5\uc7a1\ud558\uace0 \ube44\ud6a8\uc728\uc801\uc778 \ud2b9\uc131\uc744 \uc9c0\ub2c8\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uc774\ub85c \uc778\ud574 \ub370\uc774\ud130 \uae30\ubc18\uc758 \uc758\uc0ac\uacb0\uc815\uc774 \uc911\uc694\ud574\uc84c\uace0, \uba38\uc2e0\ub7ec\ub2dd \ubc0f \ub525\ub7ec\ub2dd\uc744 \ud65c\uc6a9\ud55c \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529\uc774 \ub300\ub450\ub418\uc5c8\uc2b5\ub2c8\ub2e4. \ubcf8 \uac15\uc88c\uc5d0\uc11c\ub294 \uba38\uc2e0\ub7ec\ub2dd\uacfc \ub525\ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529\uacfc \uacf5\uc801\ubd84\uc744 \ud65c\uc6a9\ud55c \ud1b5\uacc4\uc801 \ucc28\uc775 \uac70\ub798\uc5d0 \ub300\ud574 \uae4a\uc774 \uc788\uac8c \uc0b4\ud3b4\ubcf4\uaca0\uc2b5\ub2c8\ub2e4.<\/p>\n<h2>1. \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529\uc758 \uc774\ud574<\/h2>\n<p>\uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529\uc740 \ucef4\ud4e8\ud130 \ud504\ub85c\uadf8\ub7a8\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc790\ub3d9\uc73c\ub85c \ub9e4\ub9e4\ub97c \uc2e4\ud589\ud558\ub294 \uc804\ub7b5\uc785\ub2c8\ub2e4. \uc774\ub294 \ub2e4\uc591\ud55c \ub370\uc774\ud130\ub97c \uae30\ubc18\uc73c\ub85c \ucd5c\uc801\uc758 \ub9e4\ub9e4 \uacb0\uc815\uc744 \ub0b4\ub9ac\uae30 \uc704\ud55c \ubc29\ubc95\ub860\uc785\ub2c8\ub2e4. \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529\uc758 \uc7a5\uc810\uc740 \uc758\uc0ac\uacb0\uc815\uc758 \uc77c\uad00\uc131\uacfc \uc18d\ub3c4\uc785\ub2c8\ub2e4. \ud2b8\ub808\uc774\ub354\ub294 \ub9e4\ub9e4 \uc804\ub7b5\uc744 \uac1c\ubc1c\ud55c \ud6c4, \uc774\ub97c \uc790\ub3d9\uc73c\ub85c \uc2e4\ud589\ud560 \uc218 \uc788\uac8c \ub418\uba70, \uc774\ub294 \uac10\uc815\uc801 \uacb0\uc815\uc5d0\uc11c \ubc97\uc5b4\ub098\ub3c4\ub85d \ub3d5\uc2b5\ub2c8\ub2e4.<\/p>\n<h3>1.1 \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529\uc758 \ud544\uc694\uc131<\/h3>\n<ul>\n<li><strong>\uc18d\ub3c4:<\/strong> \uc778\uac04 \ud2b8\ub808\uc774\ub354\uc5d0 \ube44\ud574 \ud6e8\uc52c \ube60\ub978 \uac70\ub798 \uc2e4\ud589 \uac00\ub2a5.<\/li>\n<li><strong>\uc815\ud655\uc131:<\/strong> \ubbf8\uc138\ud55c \uc9c0\ud45c \ubcc0\ud654\ub3c4 \uac10\uc9c0\ud558\uc5ec \ucd5c\uc801\uc758 \uac70\ub798 \uacb0\uc815 \uac00\ub2a5.<\/li>\n<li><strong>\uc77c\uad00\uc131:<\/strong> \uac10\uc815\uc801 \uc694\uc18c \ubc30\uc81c, \uc804\ub7b5\uc5d0 \uc758\ud55c \uc77c\uad00\ub41c \uc758\uc0ac\uacb0\uc815 \uc2e4\ud589.<\/li>\n<li><strong>\ub300\ub7c9 \ub370\uc774\ud130 \ucc98\ub9ac:<\/strong> \ub300\ub7c9\uc758 \uc2dc\uc7a5 \ub370\uc774\ud130 \ubc0f \uacfc\uac70 \ub370\uc774\ud130\ub97c \ud65c\uc6a9 \uac00\ub2a5.<\/li>\n<\/ul>\n<h2>2. \uba38\uc2e0\ub7ec\ub2dd \ubc0f \ub525\ub7ec\ub2dd\uc758 \uae30\ucd08<\/h2>\n<p>\uba38\uc2e0\ub7ec\ub2dd\uacfc \ub525\ub7ec\ub2dd\uc740 \ub370\uc774\ud130\uc5d0\uc11c \ud328\ud134\uacfc \uad00\uacc4\ub97c \ucc3e\ub294 \ud1b5\uacc4\uc801 \ubc29\ubc95\ub860\uc785\ub2c8\ub2e4. \uc774\ub294 \uacfc\uac70\uc758 \ub370\uc774\ud130\ub97c \ud559\uc2b5\ud558\uace0, \uc774\ub97c \ubc14\ud0d5\uc73c\ub85c \ubbf8\ub798\ub97c \uc608\uce21\ud558\ub294\ub370 \uc0ac\uc6a9\ub429\ub2c8\ub2e4.<\/p>\n<h3>2.1 \uba38\uc2e0\ub7ec\ub2dd<\/h3>\n<p>\uba38\uc2e0\ub7ec\ub2dd\uc740 \uc77c\ubc18\uc801\uc73c\ub85c \uc138 \uac00\uc9c0 \uc8fc\uc694 \ubc29\uc2dd\uc73c\ub85c \ub098\ub20c \uc218 \uc788\uc2b5\ub2c8\ub2e4:<\/p>\n<ul>\n<li><strong>\uc9c0\ub3c4 \ud559\uc2b5:<\/strong> \uc785\ub825 \ub370\uc774\ud130\uc640 \uadf8\uc5d0 \ub300\ud55c \ucd9c\ub825 \ub370\uc774\ud130\uac00 \uc8fc\uc5b4\uc9c8 \ub54c, \ub370\uc774\ud130\uc758 \uad00\uacc4\ub97c \ud559\uc2b5\ud569\ub2c8\ub2e4.<\/li>\n<li><strong>\ube44\uc9c0\ub3c4 \ud559\uc2b5:<\/strong> \ucd9c\ub825 \ub370\uc774\ud130 \uc5c6\uc774 \uc785\ub825 \ub370\uc774\ud130\uc758 \ud328\ud134\uc744 \ucc3e\uc544\ub0b4\ub294 \ubc29\uc2dd\uc785\ub2c8\ub2e4.<\/li>\n<li><strong>\uac15\ud654 \ud559\uc2b5:<\/strong> \ud658\uacbd\uacfc\uc758 \uc0c1\ud638\uc791\uc6a9\uc744 \ud1b5\ud574 \ucd5c\uc801\uc758 \ud589\ub3d9\uc744 \ud559\uc2b5\ud558\ub294 \ubc29\ubc95\uc785\ub2c8\ub2e4.<\/li>\n<\/ul>\n<h3>2.2 \ub525\ub7ec\ub2dd<\/h3>\n<p>\ub525\ub7ec\ub2dd\uc740 \uc778\uacf5\uc2e0\uacbd\ub9dd\uc744 \uae30\ubc18\uc73c\ub85c \ud55c \uba38\uc2e0\ub7ec\ub2dd\uc758 \ud55c \ubd84\uc57c\uc785\ub2c8\ub2e4. \ud2b9\ud788 \ub300\ub7c9\uc758 \ub370\uc774\ud130\uc5d0\uc11c \ubcf5\uc7a1\ud55c \ud328\ud134\uc744 \uc778\uc2dd\ud558\ub294 \ub370 \ub6f0\uc5b4\ub09c \uc131\ub2a5\uc744 \ubcf4\uc785\ub2c8\ub2e4. \ub525\ub7ec\ub2dd\uc740 \uc774\ubbf8\uc9c0 \uc778\uc2dd, \uc790\uc5f0\uc5b4 \ucc98\ub9ac, \uc2dc\uacc4\uc5f4 \uc608\uce21 \ub4f1 \ub2e4\uc591\ud55c \ubd84\uc57c\uc5d0\uc11c \ud65c\uc6a9\ub418\uace0 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<h2>3. \ud1b5\uacc4\uc801 \ucc28\uc775 \uac70\ub798\uc758 \uac1c\ub150<\/h2>\n<p>\ud1b5\uacc4\uc801 \ucc28\uc775 \uac70\ub798\ub294 \ub450 \uac1c \uc774\uc0c1\uc758 \uc790\uc0b0 \uac04\uc758 \uac00\uaca9 \ucc28\uc774\uac00 \uac10\uc18c\ud560 \uac83\uc774\ub77c\ub294 \uac00\uc815 \ud558\uc5d0 \ub9e4\ub9e4\ud558\ub294 \uc804\ub7b5\uc785\ub2c8\ub2e4. \uc77c\ubc18\uc801\uc73c\ub85c \uacf5\uc801\ubd84(cointegration)\uc774\ub77c\ub294 \uac1c\ub150\uc744 \uae30\ubc18\uc73c\ub85c \ud569\ub2c8\ub2e4. \uacf5\uc801\ubd84\uc740 \ube44\uc815\uc0c1 \uc2dc\uacc4\uc5f4 \ub370\uc774\ud130 \uac04\uc758 \uc7a5\uae30\uc801\uc778 \uade0\ud615 \uad00\uacc4\ub97c \ub098\ud0c0\ub0c5\ub2c8\ub2e4.<\/p>\n<h3>3.1 \uacf5\uc801\ubd84\uc758 \uc774\ud574<\/h3>\n<p>\uacf5\uc801\ubd84\uc740 \ub450 \uac1c\uc758 \ube44\uc815\uc0c1 \uc2dc\uacc4\uc5f4 \ub370\uc774\ud130\uac00 \uc874\uc7ac\ud560 \ub54c, \uc774\ub4e4 \uac04\uc758 \uc120\ud615 \uc870\ud569\uc774 \uc815\uc0c1 \uc2dc\uacc4\uc5f4\uc774 \ub418\ub294 \uacbd\uc6b0\ub97c \ub9d0\ud569\ub2c8\ub2e4. \uacf5\uc801\ubd84\uc774 \uc874\uc7ac\ud55c\ub2e4\uba74, \ub450 \uc2dc\uacc4\uc5f4 \uac04\uc758 \uad00\uacc4\ub294 \uc2dc\uac04\uc774 \uc9c0\ub098\ub3c4 \ubcc0\ud558\uc9c0 \uc54a\ub294\ub2e4\ub294 \uc758\ubbf8\uc785\ub2c8\ub2e4.<\/p>\n<h3>3.2 \uacf5\uc801\ubd84 \uac80\uc815<\/h3>\n<p>\ub300\ud45c\uc801\uc778 \uacf5\uc801\ubd84 \uac80\uc815 \ubc29\ubc95\uc73c\ub85c\ub294 Engle-Granger \ud14c\uc2a4\ud2b8\uc640 Johansen \ud14c\uc2a4\ud2b8\uac00 \uc788\uc2b5\ub2c8\ub2e4. \uc774\ub4e4 \ubc29\ubc95\uc740 \uc8fc\uc5b4\uc9c4 \uc2dc\uacc4\uc5f4 \ub370\uc774\ud130\uc5d0\uc11c \uacf5\uc801\ubd84 \uad00\uacc4\uac00 \uc874\uc7ac\ud558\ub294\uc9c0\ub97c \ud310\ub2e8\ud558\ub294 \ub370 \uc0ac\uc6a9\ub429\ub2c8\ub2e4.<\/p>\n<h2>4. \uacf5\uc801\ubd84\uc744 \ud65c\uc6a9\ud55c \ucc28\uc775 \uac70\ub798 \uc804\ub7b5<\/h2>\n<p>\uacf5\uc801\ubd84 \uad00\uacc4\uc5d0 \uae30\ubc18\ud55c \ucc28\uc775 \uac70\ub798 \uc804\ub7b5\uc740 \ub450 \uc790\uc0b0 \uac04\uc758 \uac00\uce58 \ucc28\uc774\uac00 \uc77c\uc815 \ubc94\uc704\ub97c \ubc97\uc5b4\ub0a0 \uacbd\uc6b0 \ub9e4\uc218 \ud639\uc740 \ub9e4\ub3c4 \uc2e0\ud638\ub97c \ubc1c\uc0dd\uc2dc\ud0b5\ub2c8\ub2e4. \uc774\ub97c \uc704\ud574 \uba3c\uc800 \uacf5\uc801\ubd84 \ubaa8\ub378\uc744 \uad6c\ucd95\ud558\uace0, \uc774\ud6c4 \uc2a4\ud504\ub808\ub4dc(spread)\ub97c \uacc4\uc0b0\ud558\uc5ec \uacfc\uac70 \ud3c9\uade0\uacfc\uc758 \ucc28\uc774\ub97c \uae30\ubc18\uc73c\ub85c \ub9e4\ub9e4 \uc2e0\ud638\ub97c \uc720\ub3c4\ud569\ub2c8\ub2e4.<\/p>\n<h3>4.1 \uc2a4\ud504\ub808\ub4dc \uacc4\uc0b0<\/h3>\n<p>\uc2a4\ud504\ub808\ub4dc\ub294 \ub450 \uc790\uc0b0\uc758 \uac00\uaca9 \ucc28\uc774\ub85c \uc815\uc758\ub429\ub2c8\ub2e4. \uc77c\ubc18\uc801\uc73c\ub85c \ub450 \uc790\uc0b0\uc758 \uacf5\uc801\ubd84 \uad00\uacc4\ub97c \ud1b5\ud574 \uc2a4\ud504\ub808\ub4dc\uc758 \ud3c9\uade0\uacfc \ud45c\uc900\ud3b8\ucc28\ub97c \uacc4\uc0b0\ud569\ub2c8\ub2e4. \uc774\ub97c \ud1b5\ud574 \uc9c0\uc815\ud55c \uad6c\uac04\uc744 \ubc97\uc5b4\ub0a0 \uacbd\uc6b0 \ub9e4\ub9e4\ub97c \uc2e4\ud589\ud569\ub2c8\ub2e4.<\/p>\n<pre><code>import numpy as np\nimport pandas as pd\nimport statsmodels.api as sm\n\n# \uac00\uaca9 \ub370\uc774\ud130 \ub85c\ub4dc\nasset1 = pd.read_csv('asset1.csv')\nasset2 = pd.read_csv('asset2.csv')\n\n# \uacf5\uc801\ubd84 \ud655\uc778\nmodel = sm.OLS(asset1['Price'], asset2['Price'])\nresults = model.fit()\nprint('\ud68c\uadc0 \uacc4\uc218:', results.params)\n<\/code><\/pre>\n<h3>4.2 \ub9e4\ub9e4 \uc2e0\ud638 \uc0dd\uc131<\/h3>\n<p>\uc2a4\ud504\ub808\ub4dc\ub97c \uae30\ubc18\uc73c\ub85c \ub9e4\ub9e4 \uc2e0\ud638\ub97c \uc0dd\uc131\ud569\ub2c8\ub2e4. \uc77c\ubc18\uc801\uc73c\ub85c \uc2a4\ud504\ub808\ub4dc\uac00 \ud3c9\uade0\ubcf4\ub2e4 \uc77c\uc815 \ud45c\uc900\ud3b8\ucc28 \uc774\uc0c1\uc73c\ub85c \ubc97\uc5b4\ub0a0 \uacbd\uc6b0 \ub9e4\ub9e4\ub97c \uc2e4\ud589\ud569\ub2c8\ub2e4.<\/p>\n<pre><code>mean_spread = np.mean(spread)\nstd_spread = np.std(spread)\n\nif spread[-1] &gt; mean_spread + std_spread:\n    print(\"Sell signal\")\nelif spread[-1] &lt; mean_spread - std_spread:\n    print(\"Buy signal\")\n<\/code><\/pre>\n<h2>5. \uba38\uc2e0\ub7ec\ub2dd \ubc0f \ub525\ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc804\ub7b5 \uac15\ud654<\/h2>\n<p>\uba38\uc2e0\ub7ec\ub2dd \ub610\ub294 \ub525\ub7ec\ub2dd \uae30\ubc95\uc744 \ub3c4\uc785\ud558\uc5ec \ub354 \uc815\uad50\ud55c \ub9e4\ub9e4 \uc804\ub7b5\uc744 \uad6c\ucd95\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc2dc\uc7a5 \ub370\uc774\ud130\ub97c \uae30\ubc18\uc73c\ub85c \ud2b9\uc815 \ud328\ud134\uc744 \ud559\uc2b5\ud558\uace0, \uc774\ub97c \ud1b5\ud574 \ub9e4\ub9e4 \uc2e0\ud638\ub97c \ucd5c\uc801\ud654\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<h3>5.1 \ub370\uc774\ud130 \uc804\ucc98\ub9ac<\/h3>\n<p>\ubaa8\ub378 \ud559\uc2b5\uc744 \uc704\ud574\uc11c\ub294 \ub370\uc774\ud130 \uc804\ucc98\ub9ac\uac00 \ud544\uc218\uc801\uc785\ub2c8\ub2e4. \uacb0\uce21\uce58 \ucc98\ub9ac, \uc774\uc0c1\uce58 \uc81c\uac70, \uc815\uaddc\ud654 \ub4f1\uc758 \uacfc\uc815\uc774 \ud544\uc694\ud569\ub2c8\ub2e4. \ub610\ud55c, \uc2dc\uacc4\uc5f4 \ub370\uc774\ud130\ub97c \ub2e4\ub8f0 \ub54c\ub294 \ud2b9\uc815 \uc2dc\uac04 \uc708\ub3c4\uc6b0\ub97c \uc124\uc815\ud558\uc5ec \ud2b9\uc131\uc744 \ucd94\ucd9c\ud558\ub294 \uac83\uc774 \ud6a8\uacfc\uc801\uc785\ub2c8\ub2e4.<\/p>\n<pre><code>from sklearn.preprocessing import MinMaxScaler\n\nscaler = MinMaxScaler()\nscaled_data = scaler.fit_transform(data)\n<\/code><\/pre>\n<h3>5.2 \ubaa8\ub378 \uc120\ud0dd \ubc0f \ud559\uc2b5<\/h3>\n<p>\uba38\uc2e0\ub7ec\ub2dd \ubaa8\ub378\ub85c\ub294 \ub79c\ub364 \ud3ec\ub808\uc2a4\ud2b8, SVM, LSTM \ub4f1 \ub2e4\uc591\ud55c \ubaa8\ub378\uc744 \uc120\ud0dd\ud560 \uc218 \uc788\uc73c\uba70, \uc774\ub4e4\uc744 \ub370\uc774\ud130\uc5d0 \uc801\ud569\ud558\ub3c4\ub85d \ud559\uc2b5\uc2dc\ud0b5\ub2c8\ub2e4.<\/p>\n<pre><code>from sklearn.ensemble import RandomForestRegressor\n\nmodel = RandomForestRegressor()\nmodel.fit(X_train, y_train)\n<\/code><\/pre>\n<h3>5.3 \ubaa8\ub378 \ud3c9\uac00<\/h3>\n<p>\ubaa8\ub378\uc758 \uc131\ub2a5\uc744 \ud3c9\uac00\ud558\uae30 \uc704\ud574\uc11c\ub294 \uc5ec\ub7ec \uac00\uc9c0 \uc9c0\ud45c\uac00 \uc874\uc7ac\ud569\ub2c8\ub2e4. \uc8fc\ub85c \uc0ac\uc6a9\ud558\ub294 \uc9c0\ud45c\ub85c\ub294 RMSE, MAE, R2_score \ub4f1\uc774 \uc788\uc2b5\ub2c8\ub2e4. \uc774\ub7ec\ud55c \uc9c0\ud45c\ub97c \ud1b5\ud574 \ubaa8\ub378\uc758 \uc608\uce21\ub825\uc744 \ud310\ub2e8\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<pre><code>from sklearn.metrics import mean_squared_error\n\npredicted = model.predict(X_test)\nrmse = np.sqrt(mean_squared_error(y_test, predicted))\nprint(\"RMSE:\", rmse)\n<\/code><\/pre>\n<h2>6. \uc2e4\uc804 \uc801\uc6a9 \uc0ac\ub840<\/h2>\n<p>\uba38\uc2e0\ub7ec\ub2dd \ubc0f \ub525\ub7ec\ub2dd \uae30\ubc95\uc744 \ud65c\uc6a9\ud55c \ud1b5\uacc4\uc801 \ucc28\uc775 \uac70\ub798 \uc804\ub7b5\uc740 \uc2e4\uc81c \uc2dc\uc7a5\uc5d0\uc11c\ub3c4 \uc801\uc6a9\ub418\uace0 \uc788\uc2b5\ub2c8\ub2e4. \ub2e4\uc591\ud55c \uc790\uc0b0\uad70\uc5d0 \ub300\ud55c \ubd84\uc11d\uc744 \ud1b5\ud574 \uc804\ub7b5\uc744 \ucd5c\uc801\ud654\ud558\uace0 \uc788\uc73c\uba70, \uc54c\uace0\ub9ac\uc998\uc758 \uc131\ub2a5\uc744 \uc9c0\uc18d\uc801\uc73c\ub85c \ud3c9\uac00 \ubc0f \uac1c\uc120\ud558\uace0 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<h3>6.1 \uc2e4\uc81c \uc801\uc6a9 \uc608\uc2dc<\/h3>\n<p>\uc608\ub97c \ub4e4\uc5b4, A\uc640 B\ub77c\ub294 \ub450 \uc790\uc0b0\uc758 \uac00\uaca9 \ub370\uc774\ud130\ub97c \ubd84\uc11d\ud558\uc5ec \uacf5\uc801\ubd84 \uad00\uacc4\ub97c \ucc3e\uace0, \uc774\ud6c4 \uba38\uc2e0\ub7ec\ub2dd \ubaa8\ub378\uc744 \uc774\uc6a9\ud574 \ub9e4\ub9e4 \uc2e0\ud638\ub97c \uacb0\uc815\ud558\ub294 \uad6c\uc870\ub97c \uac00\uc9c8 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc774\ub54c, \uc218\uc775\ub960\uc744 \ucd5c\uc801\ud654\ud558\uae30 \uc704\ud55c \ub2e4\uc591\ud55c \ud558\uc774\ud37c\ud30c\ub77c\ubbf8\ud130 \ud29c\ub2dd \ubc0f \uac80\uc815 \uc791\uc5c5\uc774 \ud544\uc694\ud569\ub2c8\ub2e4.<\/p>\n<pre><code>from sklearn.model_selection import GridSearchCV\n\nparam_grid = {'n_estimators': [100, 200], 'max_features': ['auto', 'sqrt']}\ngrid_search = GridSearchCV(estimator=model, param_grid=param_grid)\ngrid_search.fit(X_train, y_train)\n<\/code><\/pre>\n<h2>7. \uacb0\ub860<\/h2>\n<p>\uba38\uc2e0\ub7ec\ub2dd \ubc0f \ub525\ub7ec\ub2dd\uc744 \ud65c\uc6a9\ud55c \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529\uc740 \ud604\ub300\uc758 \uae08\uc735 \uc2dc\uc7a5\uc5d0\uc11c \ub9e4\uc6b0 \uc911\uc694\ud55c \uc694\uc18c\ub85c \uc790\ub9ac \uc7a1\uace0 \uc788\uc2b5\ub2c8\ub2e4. \ud2b9\ud788, \uacf5\uc801\ubd84\uc744 \ud65c\uc6a9\ud55c \ud1b5\uacc4\uc801 \ucc28\uc775 \uac70\ub798\ub294 \ud6a8\uacfc\uc801\uc778 \uc804\ub7b5\uc73c\ub85c \uc0ac\uc6a9\ub420 \uc218 \uc788\uc73c\uba70, \ub370\uc774\ud130\uc640 \ubaa8\ub378\uc744 \uafb8\uc900\ud788 \uc6b4\uc601\ud558\uace0 \uac1c\uc120\ud558\uc5ec \ucd5c\uc801\uc758 \uc218\uc775\uc744 \ucd94\uad6c\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ud5a5\ud6c4 \uae30\uc220\uc758 \ubc1c\uc804\uacfc \ud568\uaed8 \ub354\uc6b1 \uc815\uad50\ud558\uace0 \ub2e4\uc591\ud55c \uc804\ub7b5\uc774 \ubc1c\uc804\ud560 \uac83\uc73c\ub85c \uae30\ub300\ub429\ub2c8\ub2e4.<\/p>\n<h2>\ucc38\uace0 \ubb38\ud5cc<\/h2>\n<ul>\n<li>Tsay, R. S. (2010). <em>Analysis of Financial Time Series<\/em>. Wiley.<\/li>\n<li>He, K., Zhang, X., Ren, S., &amp; Sun, J. (2016). <em>Deep Residual Learning for Image Recognition<\/em>. arXiv preprint arXiv:1512.03385.<\/li>\n<li>Hastie, T., Tibshirani, R., &amp; Friedman, J. (2009). <em>The Elements of Statistical Learning<\/em>. Springer.<\/li>\n<\/ul>\n<p><\/body><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\ud604\ub300\uc758 \uae08\uc735 \uc2dc\uc7a5\uc740 \ubcf5\uc7a1\ud558\uace0 \ube44\ud6a8\uc728\uc801\uc778 \ud2b9\uc131\uc744 \uc9c0\ub2c8\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uc774\ub85c \uc778\ud574 \ub370\uc774\ud130 \uae30\ubc18\uc758 \uc758\uc0ac\uacb0\uc815\uc774 \uc911\uc694\ud574\uc84c\uace0, \uba38\uc2e0\ub7ec\ub2dd \ubc0f \ub525\ub7ec\ub2dd\uc744 \ud65c\uc6a9\ud55c \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529\uc774 \ub300\ub450\ub418\uc5c8\uc2b5\ub2c8\ub2e4. \ubcf8 \uac15\uc88c\uc5d0\uc11c\ub294 \uba38\uc2e0\ub7ec\ub2dd\uacfc \ub525\ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529\uacfc \uacf5\uc801\ubd84\uc744 \ud65c\uc6a9\ud55c \ud1b5\uacc4\uc801 \ucc28\uc775 \uac70\ub798\uc5d0 \ub300\ud574 \uae4a\uc774 \uc788\uac8c \uc0b4\ud3b4\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. 1. \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529\uc758 \uc774\ud574 \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529\uc740 \ucef4\ud4e8\ud130 \ud504\ub85c\uadf8\ub7a8\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc790\ub3d9\uc73c\ub85c \ub9e4\ub9e4\ub97c \uc2e4\ud589\ud558\ub294 \uc804\ub7b5\uc785\ub2c8\ub2e4. \uc774\ub294 \ub2e4\uc591\ud55c \ub370\uc774\ud130\ub97c \uae30\ubc18\uc73c\ub85c \ucd5c\uc801\uc758 &hellip; <a href=\"https:\/\/atmokpo.com\/w\/28829\/\" class=\"more-link\">\ub354 \ubcf4\uae30<span class=\"screen-reader-text\"> &#8220;\uba38\uc2e0\ub7ec\ub2dd \ubc0f \ub525\ub7ec\ub2dd \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529, \uacf5\uc801\ubd84\uc744 \ud65c\uc6a9\ud55c \ud1b5\uacc4\uc801 \ucc28\uc775 \uac70\ub798&#8221;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[29],"tags":[],"class_list":["post-28829","post","type-post","status-publish","format-standard","hentry","category-29"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.2 - 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