\ud2b9\uc9d5 \uc120\ud0dd: \ubd88\ud544\uc694\ud55c \ud2b9\uc9d5\uc740 \uc81c\uac70\ud558\uace0 \uc911\uc694\ud55c \ud2b9\uc9d5\ub9cc \ub0a8\uae40.<\/li>\n<\/ul>\n3.2 \ubaa8\ub378 \ud559\uc2b5<\/h3>\n
\ubaa8\ub378 \ud559\uc2b5 \ub2e8\uacc4\uc5d0\uc11c\ub294 \ud6c8\ub828 \ub370\uc774\ud130\ub97c \uc0ac\uc6a9\ud558\uc5ec \uacb0\uc815 \ud2b8\ub9ac\ub97c \uad6c\uc131\ud569\ub2c8\ub2e4. Python\uc758 scikit-learn<\/code> \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \ud65c\uc6a9\ud558\uc5ec \uc758\uc0ac\uacb0\uc815 \ud2b8\ub9ac\ub97c \ud559\uc2b5\ud558\ub294 \ucf54\ub4dc \uc608\uc2dc\ub294 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4:<\/p>\nfrom sklearn.model_selection import train_test_split\nfrom sklearn.tree import DecisionTreeClassifier\nfrom sklearn.datasets import load_iris\n\n# \ub370\uc774\ud130 \ub85c\ub4dc\niris = load_iris()\nX = iris.data\ny = iris.target\n\n# \ub370\uc774\ud130 \ubd84\ud560\nX_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=42)\n\n# \ubaa8\ub378 \ud559\uc2b5\nmodel = DecisionTreeClassifier()\nmodel.fit(X_train, y_train)<\/code><\/pre>\n3.3 \ubaa8\ub378 \ud3c9\uac00<\/h3>\n
\ubaa8\ub378 \ud3c9\uac00 \ub2e8\uacc4\uc5d0\uc11c\ub294 \ud14c\uc2a4\ud2b8 \ub370\uc774\ud130\ub97c \ud1b5\ud574 \ubaa8\ub378\uc758 \uc131\ub2a5\uc744 \ud655\uc778\ud569\ub2c8\ub2e4. \ud3c9\uac00 \uc9c0\ud45c\ub85c\ub294 \uc815\ud655\ub3c4, \uc815\ubc00\ub3c4, \uc7ac\ud604\uc728, F1-score \ub4f1\uc744 \ud65c\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ubaa8\ub378 \ud3c9\uac00\uc758 \uc608\uc2dc\ub294 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4:<\/p>\n
from sklearn.metrics import accuracy_score\n\n# \uc608\uce21\ny_pred = model.predict(X_test)\n\n# \uc815\ud655\ub3c4 \ud3c9\uac00\naccuracy = accuracy_score(y_test, y_pred)\nprint(f'\ubaa8\ub378 \uc815\ud655\ub3c4: {accuracy:.2f}') # \ucd9c\ub825 \uc608: \ubaa8\ub378 \uc815\ud655\ub3c4: 0.97<\/code><\/pre>\n4. \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529\uc5d0 \uc801\uc6a9\ud558\uae30<\/h2>\n
\ubaa8\ub378\uc774 \ud559\uc2b5\ub418\uace0 \ud3c9\uac00\ub41c \ud6c4, \uc2e4\uc81c \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529\uc5d0 \uc801\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc8fc\uc2dd \ub9e4\ub9e4 \uc2dc\uc810 \uc608\uce21\uc5d0 \uacb0\uc815 \ud2b8\ub9ac\ub97c \ud65c\uc6a9\ud558\ub294 \ubc29\ubc95\uc740 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4:<\/p>\n
4.1 \ub9e4\ub9e4 \uc2e0\ud638 \uc0dd\uc131<\/h3>\n
\ud559\uc2b5\ub41c \ubaa8\ub378\uc744 \uc0ac\uc6a9\ud558\uc5ec \ub9e4\ub9e4 \uc2e0\ud638\ub97c \uc0dd\uc131\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4 \uc8fc\uac00\uac00 \uc624\ub97c \uac83\uc73c\ub85c \uc608\uce21\ub418\uba74 \ub9e4\uc218 \uc2e0\ud638\ub97c, \ub0b4\ub9b4 \uac83\uc73c\ub85c \uc608\uce21\ub418\uba74 \ub9e4\ub3c4 \uc2e0\ud638\ub97c \ubc1c\uc0dd\uc2dc\ud0ac \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n
import numpy as np\n\n# \uacfc\uac70 \ub370\uc774\ud130\uc640 \ud568\uaed8 \uc0c8\ub85c\uc6b4 \ub370\uc774\ud130 \uc785\ub825\nnew_data = np.array([[5.1, 3.5, 1.4, 0.2]]) # \uc608\uc2dc \ub370\uc774\ud130\nsignal = model.predict(new_data)\n\nif signal == 1:\n print(\"\ub9e4\uc218 \uc2e0\ud638 \ubc1c\uc0dd\")\nelif signal == 2:\n print(\"\ub9e4\ub3c4 \uc2e0\ud638 \ubc1c\uc0dd\")\nelse:\n print(\"\ubcc0\ub3d9 \uc5c6\uc74c\")<\/code><\/pre>\n4.2 \uc2e4\ud589 \ubc0f \ubaa8\ub2c8\ud130\ub9c1<\/h3>\n
\uc2e4\uc81c \ub9e4\ub9e4\ub97c \uc2e4\ud589\ud558\ub294 \uacfc\uc815\uc5d0\uc11c\ub294 \uac70\ub798\uc18c\uc758 API\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc8fc\ubb38\uc744 \uc2e4\ud589\ud558\uace0, \uc2e4\uc2dc\uac04\uc73c\ub85c \ubaa8\ub378\uc758 \uc131\ub2a5\uc744 \ubaa8\ub2c8\ud130\ub9c1\ud574\uc57c \ud569\ub2c8\ub2e4. \uc774\ub54c \uc8fc\uc758\ud574\uc57c \ud560 \uc810\uc740:<\/p>\n
\n- \uc2ac\ub9ac\ud53c\uc9c0(slippage): \uc608\uc0c1 \uac00\uaca9\uacfc \uc2e4\uc81c \uac70\ub798\uac00 \uc774\ub8e8\uc5b4\uc9c0\ub294 \uac00\uaca9 \uac04\uc758 \ucc28\uc774.<\/li>\n
- \uac70\ub798 \ube44\uc6a9: \uc218\uc218\ub8cc\uc640 \uc138\uae08 \ub4f1\uc758 \ube44\uc6a9\uc744 \uace0\ub824\ud574\uc57c \ud568.<\/li>\n
- \ub9ac\uc2a4\ud06c \uad00\ub9ac: \uc190\uc2e4\uc744 \ucd5c\uc18c\ud654\ud558\uae30 \uc704\ud55c \uc804\ub7b5\uc774 \ud544\uc694.<\/li>\n<\/ul>\n
5. \uacb0\ub860<\/h2>\n
\uba38\uc2e0\ub7ec\ub2dd\uacfc \ub525\ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529\uc740 \ubbf8\ub798 \ubb38\uc744 \uc5ec\ub294 \uac83\uc774\uc9c0\ub9cc, \uc644\ubcbd\ud55c \ub9cc\ub2a5 \ud574\uacb0\ucc45\uc740 \uc544\ub2d9\ub2c8\ub2e4. \ub370\uc774\ud130\uc640 \ubaa8\ub378\uc5d0 \ub300\ud55c \uc774\ud574, \uadf8\ub9ac\uace0 \uc2dc\uc7a5\uc758 \ubcc0\ud654\uc5d0 \ubbfc\uac10\ud558\uac8c \ubc18\uc751\ud560 \uc218 \uc788\ub294 \uc720\uc5f0\ud55c \uc811\uadfc\uc774 \ud544\uc694\ud569\ub2c8\ub2e4. \uc885\ud569\uc801\uc778 \ub9ac\uc2a4\ud06c \uad00\ub9ac\uc640 \ud568\uaed8 \uc9c0\uc18d\uc801\uc778 \uacbd\ud5d8\uacfc \uc77c\uad00\ub41c \ud559\uc2b5\uc774 \uc774\ub8e8\uc5b4\uc838\uc57c \uc131\uacf5\uc801\uc778 \ud2b8\ub808\uc774\ub529 \uc804\ub7b5\uc744 \uad6c\ucd95\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n
\ubcf8 \uac15\uc88c\ub97c \ud1b5\ud574 \uba38\uc2e0\ub7ec\ub2dd \ubc0f \ub525\ub7ec\ub2dd \uc54c\uace0\ub9ac\uc998\uc744 \uc774\ud574\ud558\uace0 \ud65c\uc6a9\ud558\uc5ec \uc790\uc2e0\ub9cc\uc758 \ud2b8\ub808\uc774\ub529 \ubaa8\ub378\uc744 \uad6c\ucd95\ud558\ub294 \ub370 \ub3c4\uc6c0\uc774 \ub418\uae30\ub97c \ubc14\ub78d\ub2c8\ub2e4. \uc2dc\uc7a5\uc758 \uc9c4\ud654\ub294 \uacc4\uc18d\ub418\uace0 \uc788\uc73c\uba70, \uc0c8\ub85c\uc6b4 \uae30\uc220\uacfc \uc804\ub7b5\uc744 \ud1b5\ud574 \ubbf8\ub798\uc758 \ud2b8\ub808\uc774\ub529 \ud658\uacbd\uc5d0 \uc801\uc751\ud558\ub294 \ub370 \ud544\uc694\ud55c \uae30\uc220\uc744 \uc9c0\uc18d\uc801\uc73c\ub85c \ubc1c\uc804\uc2dc\ucf1c \ub098\uac11\uc2dc\ub2e4.<\/p>\n
<\/body><\/p>\n","protected":false},"excerpt":{"rendered":"
\ucd5c\uadfc \uba87 \ub144\uac04 \uae08\uc735 \uc2dc\uc7a5\uc5d0\uc11c \uba38\uc2e0\ub7ec\ub2dd\uacfc \ub525\ub7ec\ub2dd \uae30\uc220\uc774 \ud3ed\ub113\uac8c \ud65c\uc6a9\ub418\uace0 \uc788\uc73c\uba70, \ud2b9\ud788 \uc790\ub3d9\ub9e4\ub9e4(trading algorithms)\uc5d0\uc11c \ub208\uc5d0 \ub744\ub294 \uc131\uacfc\ub97c \ubcf4\uc774\uace0 \uc788\uc2b5\ub2c8\ub2e4. \ubcf8 \uac15\uc88c\ub294 \uba38\uc2e0\ub7ec\ub2dd\uacfc \ub525\ub7ec\ub2dd\uc744 \ud65c\uc6a9\ud55c \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529\uc758 \uae30\ucd08\uc640 \ud2b8\ub9ac \uae30\ubc18 \uc54c\uace0\ub9ac\uc998\uc758 \uacb0\uc815 \uaddc\uce59 \ud559\uc2b5 \ubc0f \uc801\uc6a9 \ubc29\ubc95\uc5d0 \ucd08\uc810\uc744 \ub9de\ucd94\uace0\uc790 \ud569\ub2c8\ub2e4. 1. \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529\uc758 \uac1c\uc694 \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529\uc740 \ucef4\ud4e8\ud130 \ud504\ub85c\uadf8\ub7a8\uc744 \uc774\uc6a9\ud558\uc5ec \ubbf8\ub9ac \uc815\uc758\ub41c \uaddc\uce59\uc5d0 \ub530\ub77c \uc8fc\uc2dd, \uc635\uc158, \uc120\ubb3c … \ub354 \ubcf4\uae30 “\uba38\uc2e0\ub7ec\ub2dd \ubc0f \ub525\ub7ec\ub2dd \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529, \ud2b8\ub9ac\uc758 \uacb0\uc815 \uaddc\uce59 \ud559\uc2b5\uacfc \uc801\uc6a9”<\/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-29405","post","type-post","status-publish","format-standard","hentry","category-29"],"yoast_head":"\n\uba38\uc2e0\ub7ec\ub2dd \ubc0f \ub525\ub7ec\ub2dd \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529, \ud2b8\ub9ac\uc758 \uacb0\uc815 \uaddc\uce59 \ud559\uc2b5\uacfc \uc801\uc6a9 - \ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/atmokpo.com\/w\/29405\/\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\uba38\uc2e0\ub7ec\ub2dd \ubc0f \ub525\ub7ec\ub2dd \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529, \ud2b8\ub9ac\uc758 \uacb0\uc815 \uaddc\uce59 \ud559\uc2b5\uacfc \uc801\uc6a9 - \ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\" \/>\n<meta property=\"og:description\" content=\"\ucd5c\uadfc \uba87 \ub144\uac04 \uae08\uc735 \uc2dc\uc7a5\uc5d0\uc11c \uba38\uc2e0\ub7ec\ub2dd\uacfc \ub525\ub7ec\ub2dd \uae30\uc220\uc774 \ud3ed\ub113\uac8c \ud65c\uc6a9\ub418\uace0 \uc788\uc73c\uba70, \ud2b9\ud788 \uc790\ub3d9\ub9e4\ub9e4(trading algorithms)\uc5d0\uc11c \ub208\uc5d0 \ub744\ub294 \uc131\uacfc\ub97c \ubcf4\uc774\uace0 \uc788\uc2b5\ub2c8\ub2e4. \ubcf8 \uac15\uc88c\ub294 \uba38\uc2e0\ub7ec\ub2dd\uacfc \ub525\ub7ec\ub2dd\uc744 \ud65c\uc6a9\ud55c \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529\uc758 \uae30\ucd08\uc640 \ud2b8\ub9ac \uae30\ubc18 \uc54c\uace0\ub9ac\uc998\uc758 \uacb0\uc815 \uaddc\uce59 \ud559\uc2b5 \ubc0f \uc801\uc6a9 \ubc29\ubc95\uc5d0 \ucd08\uc810\uc744 \ub9de\ucd94\uace0\uc790 \ud569\ub2c8\ub2e4. 1. \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529\uc758 \uac1c\uc694 \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529\uc740 \ucef4\ud4e8\ud130 \ud504\ub85c\uadf8\ub7a8\uc744 \uc774\uc6a9\ud558\uc5ec \ubbf8\ub9ac \uc815\uc758\ub41c \uaddc\uce59\uc5d0 \ub530\ub77c \uc8fc\uc2dd, \uc635\uc158, \uc120\ubb3c … \ub354 \ubcf4\uae30 "\uba38\uc2e0\ub7ec\ub2dd \ubc0f \ub525\ub7ec\ub2dd \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529, \ud2b8\ub9ac\uc758 \uacb0\uc815 \uaddc\uce59 \ud559\uc2b5\uacfc \uc801\uc6a9"\" \/>\n<meta property=\"og:url\" content=\"https:\/\/atmokpo.com\/w\/29405\/\" \/>\n<meta property=\"og:site_name\" content=\"\ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\" \/>\n<meta property=\"article:published_time\" content=\"2024-10-27T16:18:17+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-11-26T06:52:45+00:00\" \/>\n<meta name=\"author\" content=\"root\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@bebubo4\" \/>\n<meta name=\"twitter:site\" content=\"@bebubo4\" \/>\n<meta name=\"twitter:label1\" content=\"\uae00\uc4f4\uc774\" \/>\n\t<meta name=\"twitter:data1\" content=\"root\" \/>\n\t<meta name=\"twitter:label2\" content=\"\uc608\uc0c1 \ub418\ub294 \ud310\ub3c5 \uc2dc\uac04\" \/>\n\t<meta name=\"twitter:data2\" content=\"1\ubd84\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/atmokpo.com\/w\/29405\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/atmokpo.com\/w\/29405\/\"},\"author\":{\"name\":\"root\",\"@id\":\"https:\/\/atmokpo.com\/w\/#\/schema\/person\/91b6b3b138fbba0efb4ae64b1abd81d7\"},\"headline\":\"\uba38\uc2e0\ub7ec\ub2dd \ubc0f \ub525\ub7ec\ub2dd \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529, \ud2b8\ub9ac\uc758 \uacb0\uc815 \uaddc\uce59 \ud559\uc2b5\uacfc \uc801\uc6a9\",\"datePublished\":\"2024-10-27T16:18:17+00:00\",\"dateModified\":\"2024-11-26T06:52:45+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/atmokpo.com\/w\/29405\/\"},\"wordCount\":21,\"publisher\":{\"@id\":\"https:\/\/atmokpo.com\/w\/#organization\"},\"articleSection\":[\"\ub525\ub7ec\ub2dd \uba38\uc2e0\ub7ec\ub2dd \uc790\ub3d9 \ud2b8\ub808\uc774\ub529\"],\"inLanguage\":\"ko-KR\"},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/atmokpo.com\/w\/29405\/\",\"url\":\"https:\/\/atmokpo.com\/w\/29405\/\",\"name\":\"\uba38\uc2e0\ub7ec\ub2dd \ubc0f \ub525\ub7ec\ub2dd \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529, \ud2b8\ub9ac\uc758 \uacb0\uc815 \uaddc\uce59 \ud559\uc2b5\uacfc \uc801\uc6a9 - 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