{"id":2409,"date":"2024-09-05T08:45:51","date_gmt":"2024-09-04T23:45:51","guid":{"rendered":"https:\/\/secondlife.lol\/?p=2409"},"modified":"2024-09-05T15:59:58","modified_gmt":"2024-09-05T06:59:58","slug":"python-svm-visualization","status":"publish","type":"post","link":"https:\/\/secondlife.lol\/zh\/python-svm-visualization\/","title":{"rendered":"\u652f\u6301\u5411\u91cf\u673a SVM \u793a\u4f8b\u548c\u53ef\u89c6\u5316 - \u4e8c\u7ef4"},"content":{"rendered":"<p>\u5bf9\u4e8e\u673a\u5668\u5b66\u4e60\u4e2d\u7684\u5206\u7c7b\u95ee\u9898\uff0c\u652f\u6301\u5411\u91cf\u673a\uff08SVM\uff09\u662f\u4e00\u79cd\u6d41\u884c\u800c\u5f3a\u5927\u7684\u7b97\u6cd5\uff0c\u5c24\u5176\u662f\u5b83\u901a\u8fc7\u6e05\u6670\u5730\u7ed8\u5236\u6570\u636e\u7684\u51b3\u7b56\u8fb9\u754c\uff0c\u5177\u6709\u6613\u4e8e\u76f4\u89c2\u7406\u89e3\u7684\u4f18\u52bf\u3002\u5728\u672c\u7bc7\u6587\u7ae0\u4e2d\uff0c\u6211\u4eec\u5c06\u5b66\u4e60\u5982\u4f55\u4f7f\u7528 Python <code>scikit-learn<\/code> \u4f7f\u7528\u8be5\u5e93\u6d4f\u89c8 SVM \u793a\u4f8b\uff0c\u5e76\u5c06\u7ed3\u679c\u4e0e <strong>\u53ef\u89c6\u5316<\/strong>\u8fd9\u6837\u4f60\u5c31\u80fd\u4e86\u89e3 SVM \u7684\u5de5\u4f5c\u539f\u7406\uff0c\u5e76\u770b\u5230\u7ed3\u679c\u662f\u5982\u4f55\u76f4\u89c2\u5448\u73b0\u7684\u3002<\/p>\n\n\n<style>.kb-image2409_1fb5e4-dd .kb-image-has-overlay:after{opacity:0.3;border-top-left-radius:5px;border-top-right-radius:5px;border-bottom-right-radius:5px;border-bottom-left-radius:5px;}.kb-image2409_1fb5e4-dd img.kb-img, .kb-image2409_1fb5e4-dd .kb-img img{border-top:31px solid;border-right:31px solid;border-bottom:31px solid;border-left:31px solid;border-top-left-radius:5px;border-top-right-radius:5px;border-bottom-right-radius:5px;border-bottom-left-radius:5px;box-shadow:0px 0px 14px 0px rgba(0, 0, 0, 0.2);}@media all and (max-width: 1024px){.kb-image2409_1fb5e4-dd img.kb-img, .kb-image2409_1fb5e4-dd .kb-img img{border-top:31px solid;border-right:31px solid;border-bottom:31px solid;border-left:31px solid;}}@media all and (max-width: 767px){.kb-image2409_1fb5e4-dd img.kb-img, .kb-image2409_1fb5e4-dd .kb-img img{border-top:31px solid;border-right:31px solid;border-bottom:31px solid;border-left:31px solid;}}<\/style>\n<figure class=\"wp-block-kadence-image kb-image2409_1fb5e4-dd size-full\"><img decoding=\"async\" width=\"546\" height=\"435\" src=\"https:\/\/secondlife.lol\/wp-content\/uploads\/2024\/09\/IMG_2319.jpg\" alt=\"SVM \uc608\uc81c \uc378\ub124\uc77c\" class=\"kb-img wp-image-2415\" srcset=\"https:\/\/secondlife.lol\/wp-content\/uploads\/2024\/09\/IMG_2319.jpg 546w, https:\/\/secondlife.lol\/wp-content\/uploads\/2024\/09\/IMG_2319-300x239.jpg 300w\" sizes=\"(max-width: 546px) 100vw, 546px\" \/><\/figure>\n\n\n<style>.kb-table-of-content-nav.kb-table-of-content-id83_5f28a6-34 .kb-table-of-content-wrap{padding-top:var(--global-kb-spacing-sm, 1.5rem);padding-right:var(--global-kb-spacing-sm, 1.5rem);padding-bottom:var(--global-kb-spacing-sm, 1.5rem);padding-left:var(--global-kb-spacing-sm, 1.5rem);border-top:3px solid var(--global-palette2, #2B6CB0);border-right:3px solid var(--global-palette2, #2B6CB0);border-bottom:3px solid var(--global-palette2, #2B6CB0);border-left:3px solid var(--global-palette2, #2B6CB0);border-top-left-radius:5px;border-top-right-radius:5px;border-bottom-right-radius:5px;border-bottom-left-radius:5px;box-shadow:0px 0px 14px 0px rgba(0, 0, 0, 0.2);}.kb-table-of-content-nav.kb-table-of-content-id83_5f28a6-34 .kb-table-of-contents-title-wrap{padding-top:0px;padding-right:0px;padding-bottom:0px;padding-left:0px;}.kb-table-of-content-nav.kb-table-of-content-id83_5f28a6-34 .kb-table-of-contents-title-wrap{color:var(--global-palette2, #2B6CB0);}.kb-table-of-content-nav.kb-table-of-content-id83_5f28a6-34 .kb-table-of-contents-title{color:var(--global-palette2, #2B6CB0);font-size:28px;font-weight:regular;font-style:normal;}.kb-table-of-content-nav.kb-table-of-content-id83_5f28a6-34 .kb-table-of-content-wrap .kb-table-of-content-list{color:var(--global-palette1, #3182CE);line-height:2em;font-weight:regular;font-style:normal;margin-top:var(--global-kb-spacing-sm, 1.5rem);margin-right:0px;margin-bottom:0px;margin-left:0px;}.kb-table-of-content-nav.kb-table-of-content-id83_5f28a6-34 .kb-table-of-content-wrap .kb-table-of-content-list .kb-table-of-contents__entry:hover{color:var(--global-palette6, #718096);}@media all and (max-width: 1024px){.kb-table-of-content-nav.kb-table-of-content-id83_5f28a6-34 .kb-table-of-content-wrap{border-top:3px solid var(--global-palette2, #2B6CB0);border-right:3px solid var(--global-palette2, #2B6CB0);border-bottom:3px solid var(--global-palette2, #2B6CB0);border-left:3px solid var(--global-palette2, #2B6CB0);}}@media all and (max-width: 1024px){.kb-table-of-content-nav.kb-table-of-content-id83_5f28a6-34 .kb-table-of-contents-title{font-size:28px;}}@media all and (max-width: 767px){.kb-table-of-content-nav.kb-table-of-content-id83_5f28a6-34 .kb-table-of-content-wrap{border-top:3px solid var(--global-palette2, #2B6CB0);border-right:3px solid var(--global-palette2, #2B6CB0);border-bottom:3px solid var(--global-palette2, #2B6CB0);border-left:3px solid var(--global-palette2, #2B6CB0);}.kb-table-of-content-nav.kb-table-of-content-id83_5f28a6-34 .kb-table-of-contents-title{font-size:28px;}}<\/style>\n\n\n<h2 class=\"wp-block-heading\">\u4e86\u89e3\u652f\u6301\u5411\u91cf\u673a (SVM)<\/h2>\n\n\n\n<p><strong>SVM<\/strong>SVM \u662f\u4e00\u79cd\u76d1\u7763\u5b66\u4e60\u7b97\u6cd5\uff0c\u5b83\u80fd\u627e\u5230\u5c06\u7ed9\u5b9a\u6570\u636e\u5206\u6210\u4e24\u7c7b\u7684\u6700\u4f73\u8fb9\u754c\uff08\u8d85\u5e73\u9762\uff09\u3002 SVM \u80cc\u540e\u7684\u7406\u5ff5\u662f\u901a\u8fc7\u6700\u5927\u5316\u6700\u63a5\u8fd1\u5206\u7c7b\u8fb9\u754c\u7684\u6570\u636e\u70b9\uff08\u652f\u6301\u5411\u91cf\uff09\u7684\u8ddd\u79bb\u6765\u751f\u6210\u6700\u4f73\u5206\u7c7b\u5668\u3002<\/p>\n\n\n\n<p>SVM \u5728\u5904\u7406\u9ad8\u7ef4\u5ea6\u6570\u636e\u65f6\u5c24\u4e3a\u6709\u6548\uff0c\u751a\u81f3\u53ef\u4ee5\u4f7f\u7528\u6838\u51fd\u6570\u5bf9\u975e\u7ebf\u6027\u6570\u636e\u8fdb\u884c\u5206\u7c7b\u3002\u5728\u672c\u4f8b\u4e2d\uff0c\u6211\u4eec\u5c06\u4f7f\u7528\u4e8c\u7ef4\u6570\u636e\u6765\u53ef\u89c6\u5316 SVM \u5bf9\u6570\u636e\u8fdb\u884c\u5206\u7c7b\u7684\u8fb9\u754c\u3002<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">\u9010\u6b65\u7f16\u5199 Python \u4ee3\u7801<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\">1. \u5bfc\u5165\u6240\u9700\u7684\u5e93<\/h3>\n\n\n\n<p>\u9996\u5148\uff0c\u52a0\u8f7d\u5b9e\u73b0 SVM \u6240\u9700\u7684\u5e93\uff0c\u5e76\u5c06\u7ed3\u679c\u53ef\u89c6\u5316\u3002<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>\u5c06 numpy \u5bfc\u5165 np\nimport matplotlib.pyplot as plt\nfrom sklearn import datasets\nfrom sklearn.model_selection import train_test_split\nfrom sklearn.svm import SVC<\/code><\/pre>\n\n\n\n<ul class=\"wp-block-list\">\n<li><code>numpy<\/code>\uff1a\u7528\u4e8e\u6570\u7ec4\u548c\u6570\u5b66\u8ba1\u7b97\u7684\u5e93\u3002<\/li>\n\n\n\n<li><code>matplotlib.pyplot<\/code>\uff1a\u4e00\u4e2a\u56fe\u5f62\u548c\u53ef\u89c6\u5316\u5e93\u3002<\/li>\n\n\n\n<li><code>sklearn.datasets<\/code>\u6a21\u5757\uff1a\u63d0\u4f9b\u4e00\u4e2a\u7b80\u5355\u6570\u636e\u96c6\u7684\u6a21\u5757\uff0c\u5728\u672c\u4f8b\u4e2d\u4e3a <code>\u5206\u7c7b<\/code> \u6211\u4eec\u5c06\u4f7f\u7528\u4e00\u4e2a\u6570\u636e\u96c6\u3002<\/li>\n\n\n\n<li><code>\u8bad\u7ec3\u6d4b\u8bd5\u62c6\u5206<\/code>:\u7528\u4e8e\u5206\u79bb\u8bad\u7ec3\u548c\u6d4b\u8bd5\u6570\u636e\u7684\u51fd\u6570\u3002<\/li>\n\n\n\n<li><code>\u4ea4\u6362\u865a\u7535\u8def<\/code>\u652f\u6301\u5411\u91cf\u673a\u5206\u7c7b\u5668\uff1a\u5b9e\u73b0\u652f\u6301\u5411\u91cf\u673a\uff08SVM\uff09\u5206\u7c7b\u5668\u7684\u7c7b\u3002<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">2. \u521b\u5efa\u6837\u672c\u6570\u636e<\/h3>\n\n\n\n<p>\u521b\u5efa\u7b80\u5355\u7684\u4e8c\u7ef4\u6570\u636e\uff0c\u5e76\u7528 SVM \u5bf9\u5176\u8fdb\u884c\u8bad\u7ec3\u3002<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code># \u751f\u6210\u7b80\u5355\u7684\u4e8c\u7ef4\u6570\u636e\nX, y = datasets.make_classification(n_samples=100, n_features=2, n_informative=2, n_redundant=0, random_state=42)\n\n\u5c06 # \u6570\u636e\u96c6\u5206\u4e3a\u8bad\u7ec3\u548c\u6d4b\u8bd5\u4e24\u90e8\u5206\nX_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=42)<\/code><\/pre>\n\n\n\n<ul class=\"wp-block-list\">\n<li><code>n_samples=100<\/code>\uff1a\u751f\u6210 100 \u4e2a\u6837\u672c\u3002<\/li>\n\n\n\n<li><code>n_features=2<\/code>:\u521b\u5efa\u5177\u6709\u4e24\u4e2a\u7279\u5f81\u7684\u4e8c\u7ef4\u6570\u636e\u3002<\/li>\n\n\n\n<li><code>n_informative=2<\/code>\u8fd9\u4e24\u4e2a\u7279\u5f81\u90fd\u662f\u5206\u7c7b\u7684\u6709\u7528\u4fe1\u606f\u3002<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">3. \u521b\u5efa\u5e76\u8bad\u7ec3 SVM \u6a21\u578b<\/h3>\n\n\n\n<p>\u5c06\u751f\u6210\u7684\u6570\u636e\u5206\u4e3a\u8bad\u7ec3\u6570\u636e\u548c\u6d4b\u8bd5\u6570\u636e\u540e\uff0c\u8bad\u7ec3 SVM \u6a21\u578b\u3002<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>\u521b\u5efa # SVM \u6a21\u578b\nmodel = SVC(kernel='linear')\n\n\u8bad\u7ec3 # \u6a21\u578b\nmodel.fit(X_train, y_train)<\/code><\/pre>\n\n\n\n<ul class=\"wp-block-list\">\n<li><code>\u5185\u6838='\u7ebf\u6027<\/code>\uff1a\u7528\u7ebf\u6027\u5185\u6838\u627e\u51fa\u4e00\u6761\u76f4\u7ebf\uff0c\u5c06\u4e24\u4e2a\u7b49\u7ea7\u5206\u5f00\u3002<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">\u53ef\u89c6\u5316 SVM \u7ed3\u679c<\/h2>\n\n\n\n<p>\u73b0\u5728\u53ef\u89c6\u5316\u8bad\u7ec3\u597d\u7684 SVM \u6a21\u578b\u548c\u6d4b\u8bd5\u6570\u636e\u7684\u5206\u7c7b\u8fb9\u754c\u3002\u652f\u6301\u5411\u91cf\u673a<strong> \u53ef\u89c6\u5316<\/strong>\u5bf9\u4e8e\u4e86\u89e3 SVM \u6a21\u578b\u5982\u4f55\u5bf9\u6570\u636e\u8fdb\u884c\u5206\u7c7b\u975e\u5e38\u6709\u7528\u3002<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>\u53ef\u89c6\u5316 # \u8bad\u7ec3\u6570\u636e\u548c\u5206\u7c7b\u8fb9\u754c\u7684\u51fd\u6570\ndef plot_decision_boundary(X, y, model)\uff1a\n    \u751f\u6210\u53ef\u89c6\u5316 # \u8fb9\u754c\u7684\u7f51\u683c\n    x_min, x_max = X[:, 0].min() - 1, X[:, 0].max() + 1\n    y_min, y_max = X[:, 1].min() - 1, X[:, 1].max() + 1\n    xx, yy = np.meshgrid(np.arange(x_min, x_max, 0.01)\u3001\n                         np.arange(y_min, y_max, 0.01))\n\n    \u4f7f\u7528 # \u6a21\u578b\u8ba1\u7b97\u6bcf\u4e2a\u5750\u6807\u7684\u9884\u6d4b\u503c\n    Z = model.predict(np.c_[xx.ravel(), yy.ravel()])\n    Z = Z.reshape(xx.shape)\n\n    \u53ef\u89c6\u5316 # \u8fb9\u754c\n    plt.contourf(xx, yy, Z, alpha=0.8)\n\n    \u53ef\u89c6\u5316 # \u6570\u636e\u70b9\n    plt.scatter(X[:, 0], X[:, 1], c=y, edgecolours='k', marker='o', s=50)\n    plt.xlim(xx.min(), xx.max())\n    plt.ylim(yy.min(), yy.max())\n    plt.title(\"SVM \u51b3\u7b56\u8fb9\u754c\")\n    plt.show()\n\n\u4f7f\u7528 # \u8bad\u7ec3\u6a21\u578b\u76f4\u89c2\u663e\u793a\u8fb9\u754c\nplot_decision_boundary(X_test, y_test, model)<\/code><\/pre>\n\n\n\n<ul class=\"wp-block-list\">\n<li><code>np.meshgrid<\/code>\u7f51\u683c\uff1a\u751f\u6210\u7f51\u683c\uff0c\u4f7f\u8fb9\u754c\u53ef\u89c6\u5316\u3002<\/li>\n\n\n\n<li><code>model.predict<\/code>\u6839\u636e\u6a21\u578b\u5bf9\u751f\u6210\u7f51\u683c\u7684\u9884\u6d4b\u503c\u7ed8\u5236\u8fb9\u754c\u3002<\/li>\n\n\n\n<li><code>plt.contourf<\/code>\u6839\u636e\u9884\u6d4b\u7ed3\u679c\u53ef\u89c6\u5316\u5206\u7c7b\u8fb9\u754c\u3002<\/li>\n\n\n\n<li><code>plt.scatter<\/code>\u53ef\u89c6\u5316\uff1a\u60a8\u53ef\u4ee5\u901a\u8fc7\u53ef\u89c6\u5316\u771f\u5b9e\u6570\u636e\u70b9\u6765\u9a8c\u8bc1\u6a21\u578b\u662f\u5426\u5bf9\u5176\u8fdb\u884c\u4e86\u6b63\u786e\u5206\u7c7b\u3002<\/li>\n<\/ul>\n\n\n\n<p>\u8fd0\u884c\u4e0a\u8ff0\u4ee3\u7801\u65f6\uff0c\u60a8\u5c06\u770b\u5230 SVM \u8bad\u7ec3\u51fa\u7684\u6570\u636e\u5206\u7c7b\u8fb9\u754c\uff0c\u5e76\u770b\u5230\u6d4b\u8bd5\u6570\u636e\u5728\u8fd9\u4e9b\u8fb9\u754c\u5185\u88ab\u6b63\u786e\u5206\u7c7b\u3002<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">\u652f\u6301\u5411\u91cf\u673a\u53ef\u89c6\u5316\u793a\u4f8b\u8bbe\u65bd\u540d\u79f0<\/h3>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u5206\u7c7b\u8fb9\u754c\u4ee5\u7ebf\u6027\u8fb9\u754c\u7684\u5f62\u5f0f\u51fa\u73b0\uff0c\u5c06\u4e24\u4e2a\u7c7b\u522b\u5206\u5f00\u3002<\/li>\n\n\n\n<li>\u6bcf\u4e2a\u6570\u636e\u70b9\u6839\u636e\u5176\u7c7b\u522b\u4ee5\u4e0d\u540c\u7684\u989c\u8272\u663e\u793a\u3002<\/li>\n\n\n\n<li>\u6a21\u578b\u5b66\u4e60\u5230\u7684\u652f\u6301\u5411\u91cf\u4e5f\u53ef\u4ee5\u5728\u53ef\u89c6\u5316\u6548\u679c\u56fe\u4e2d\u770b\u5230\uff0c\u5373\u4f4d\u4e8e\u8fb9\u754c\u9644\u8fd1\u7684\u6570\u636e\u70b9\u3002<\/li>\n<\/ol>\n\n\n\n<h2 class=\"wp-block-heading\">\u5b8c\u6574\u7684\u96c6\u6210\u4ee3\u7801<\/h2>\n\n\n\n<p>\u4ee5\u4e0b\u662f\u652f\u6301\u5411\u91cf\u673a (SVM) \u6a21\u578b\u7684\u5b8c\u6574\u4ee3\u7801\u3002\u6211\u4eec\u5728\u5fc5\u8981\u7684\u5730\u65b9\u6dfb\u52a0\u4e86\u6ce8\u91ca\u4ee5\u89e3\u91ca\u6b65\u9aa4\u3002<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>\u5c06 numpy \u5bfc\u5165 np\nimport matplotlib.pyplot as plt\nfrom sklearn import datasets\nfrom sklearn.model_selection import train_test_split\nfrom sklearn.svm import SVC\n\n# 1. \u751f\u6210\u6570\u636e\n# \u521b\u5efa 100 \u4e2a\u5e26\u6709 2 \u4e2a\u7279\u5f81\u7684\u6837\u672c\uff0c\u521b\u5efa\u4e00\u4e2a\u7c7b\u95f4\u5206\u5e03\u826f\u597d\u7684\u6570\u636e\u96c6\nX, y = datasets.make_classification(n_samples=100, n_features=2, n_informative=2\u3001\n                                    n_redundant=0, random_state=42)\n\n# 2.\u6570\u636e\u5206\u533a\n# \u5c06\u6570\u636e\u5206\u4e3a 70% \u7528\u4e8e\u8bad\u7ec3\uff0c30% \u7528\u4e8e\u6d4b\u8bd5\nX_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=42)\n\n# 3.\u751f\u6210 SVM \u6a21\u578b\n\u4f7f\u7528 # \u7ebf\u6027\u6838\u521b\u5efa SVM \u6a21\u578b\nmodel = SVC(kernel='linear')\n\n# 4.\u8bad\u7ec3\u6a21\u578b\n\u4f7f\u7528 # \u8bad\u7ec3\u6570\u636e\u8bad\u7ec3 SVM \u6a21\u578b\nmodel.fit(X_train, y_train)\n\n# 5.\u5b9a\u4e49\u53ef\u89c6\u5316\u51fd\u6570\n\u53ef\u89c6\u5316 # \u8bad\u7ec3\u6a21\u578b\u7684\u5206\u7c7b\u8fb9\u754c\u548c\u6570\u636e\u70b9\u7684\u51fd\u6570\ndef plot_decision_boundary(X, y, model)\uff1a\n    # 5.1 \u8bbe\u7f6e\u8fb9\u754c\u53ef\u89c6\u5316\u7f51\u683c\n    x_min, x_max = X[:, 0].min() - 1, X[:, 0].max() + 1\n    y_min, y_max = X[:, 1].min() - 1, X[:, 1].max() + 1\n    xx, yy = np.meshgrid(np.arange(x_min, x_max, 0.01)\u3001\n                         np.arange(y_min, y_max, 0.01))\n\n    # 5.2 \u8ba1\u7b97\u6a21\u578b\u5728\u7f51\u683c\u4e2d\u6bcf\u4e00\u70b9\u7684\u9884\u6d4b\u503c\n    Z = model.predict(np.c_[xx.ravel(), yy.ravel()])\n    Z = Z.reshape(xx.shape)\n\n    # 5.3 \u6839\u636e\u9884\u6d4b\u503c\u7ed8\u5236\u5206\u7c7b\u8fb9\u754c\n    plt.contourf(xx, yy, Z, alpha=0.8)\n\n    # 5.4 \u53ef\u89c6\u5316\u5b9e\u9645\u6570\u636e\u70b9\n    plt.scatter(X[:, 0], X[:, 1], c=y, edgecolours='k', marker='o', s=50)\n    plt.xlim(xx.min(), xx.max())\n    plt.ylim(yy.min(), yy.max())\n    plt.title(\"SVM \u51b3\u7b56\u8fb9\u754c\")\n    plt.show()\n\n# 6.\u4f7f\u7528\u6d4b\u8bd5\u6570\u636e\u76f4\u89c2\u663e\u793a\u5206\u7c7b\u8fb9\u754c\nplot_decision_boundary(X_test, y_test, model)<\/code><\/pre>\n\n\n\n<h3 class=\"wp-block-heading\">\u4ee3\u7801\u8bf4\u660e<\/h3>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>\u751f\u6210\u6570\u636e<\/strong>: <code>\u6570\u636e\u96c6\u5206\u7c7b<\/code> \u51fd\u6570\u6765\u751f\u6210\u4e8c\u7ef4\u6570\u636e\uff0c\u4ee5\u4fbf\u7528 SVM \u5bf9\u5176\u8fdb\u884c\u53ef\u89c6\u5316\u3002<\/li>\n\n\n\n<li><strong>\u6570\u636e\u5206\u533a<\/strong>: <code>\u8bad\u7ec3\u6d4b\u8bd5\u62c6\u5206<\/code>\u5c06\u6570\u636e\u5206\u4e3a\u8bad\u7ec3\u6570\u636e\uff0870%\uff09\u548c\u6d4b\u8bd5\u6570\u636e\uff0830%\uff09\u3002<\/li>\n\n\n\n<li><strong>\u521b\u5efa SVM \u6a21\u578b<\/strong>: <code>\u4ea4\u6362\u865a\u7535\u8def<\/code> \u7c7b\u7684 <code>\u5185\u6838='\u7ebf\u6027<\/code>\u6765\u521b\u5efa\u7ebf\u6027\u652f\u6301\u5411\u91cf\u673a\u6a21\u578b\u3002<\/li>\n\n\n\n<li><strong>\u6a21\u578b\u57f9\u8bad<\/strong>: <code>\u5408\u9002<\/code> \u65b9\u6cd5\uff0c\u6839\u636e\u8bad\u7ec3\u6570\u636e\u6765\u8bad\u7ec3\u6a21\u578b\u3002<\/li>\n\n\n\n<li><strong>\u53ef\u89c6\u5316\u529f\u80fd<\/strong>\u7528\u4e8e\u7ed8\u5236\u751f\u6210\u6a21\u578b\u7684\u5206\u7c7b\u8fb9\u754c\u7684\u529f\u80fd\uff0c\u53ef\u6839\u636e\u6bcf\u4e2a\u70b9\u7684\u9884\u6d4b\u7ed3\u679c\u751f\u6210\u7f51\u683c\u4ee5\u76f4\u89c2\u663e\u793a\u5206\u7c7b\u8fb9\u754c\u3002<\/li>\n\n\n\n<li><strong>\u5c06\u7ed3\u679c\u53ef\u89c6\u5316<\/strong>:\u4f7f\u7528\u6d4b\u8bd5\u6570\u636e\u6765\u9a8c\u8bc1\u6a21\u578b\u5b66\u4e60\u5230\u7684\u5206\u7c7b\u754c\u9650\u3002<\/li>\n\n\n\n<li><\/li>\n<\/ol>\n\n\n\n<h2 class=\"wp-block-heading\">\u5e38\u89c1\u95ee\u9898\uff08FAQ\uff09<\/h2>\n\n\n\n<p><strong>Q1. \u4ec0\u4e48\u662f\u652f\u6301\u5411\u91cf\u673a\uff08SVM\uff09\uff1f<\/strong><br>A1. SVM \u662f\u4e00\u79cd\u5206\u7c7b\u7b97\u6cd5\uff0c\u5b83\u80fd\u627e\u5230\u5c06\u7ed9\u5b9a\u6570\u636e\u5206\u4e3a\u4e24\u7c7b\u7684\u6700\u4f73\u8fb9\u754c\u3002\u652f\u6301\u5411\u91cf\u662f\u5728\u5b9a\u4e49\u8fb9\u754c\u65f6\u8d77\u91cd\u8981\u4f5c\u7528\u7684\u6570\u636e\u70b9\u3002<\/p>\n\n\n\n<p><strong>Q2. <code>\u5185\u6838<\/code>\u662f\u4ec0\u4e48\uff1f<\/strong><br>A2. <code>\u5185\u6838<\/code>\u662f\u4e00\u79cd\u8f6c\u6362\u6570\u636e\u7684\u51fd\u6570\uff0c\u53ef\u4ee5\u5c06\u5177\u6709\u975e\u7ebf\u6027\u5173\u7cfb\u7684\u6570\u636e\u8fdb\u884c\u7ebf\u6027\u5206\u79bb\u3002\u6709\u8bb8\u591a\u4e0d\u540c\u7684\u7c7b\u578b\uff0c\u5305\u62ec\u7ebf\u6027\u5185\u6838\u3001\u591a\u9879\u5f0f\u5185\u6838\u548c RBF \u5185\u6838\u3002<\/p>\n\n\n\n<p><strong>\u95ee\u9898 3\uff1a\u4ec5\u4f7f\u7528\u4e8c\u7ef4\u6570\u636e\u80fd\u5426\u5b9e\u73b0\u652f\u6301\u5411\u91cf\u673a\u7684\u53ef\u89c6\u5316\uff1f<\/strong><br>A3. \u4e8c\u7ef4\u6216\u4e09\u7ef4\u6570\u636e\u53ef\u4ee5\u76f4\u89c2\u5730\u5b9e\u73b0\u53ef\u89c6\u5316\uff0c\u4f46\u9ad8\u7ef4\u6570\u636e\u96be\u4ee5\u76f4\u89c2\u8868\u793a\u3002 \u4e0d\u8fc7\uff0cSVM \u53ef\u7528\u4e8e\u9ad8\u7ef4\u6570\u636e\u3002<\/p>\n\n\n\n<p><strong>\u95ee\u9898 4 SVM \u6709\u54ea\u4e9b\u4f18\u7f3a\u70b9\uff1f<\/strong><br>\u4f18\u70b9\u662f\u5bf9\u9ad8\u7ef4\u6570\u636e\u6709\u826f\u597d\u7684\u8868\u73b0\uff0c\u5e76\u80fd\u9632\u6b62\u8fc7\u5ea6\u62df\u5408\u3002\u7f3a\u70b9\u662f\u5bf9\u4e8e\u5927\u91cf\u6570\u636e\u6765\u8bf4\uff0c\u8bad\u7ec3\u65f6\u95f4\u53ef\u80fd\u8f83\u957f\u3002<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">\u6e05\u7406\u652f\u6301\u5411\u91cf\u673a\u53ef\u89c6\u5316<\/h2>\n\n\n\n<p>\u5728\u672c\u7bc7\u6587\u7ae0\u4e2d\uff0c\u6211\u4eec\u5c06\u4ecb\u7ecd Python \u7684 <code>scikit-learn<\/code>\u4f7f\u7528 <strong>\u652f\u6301\u5411\u91cf\u673a\uff08SVM\uff09<\/strong>\u901a\u8fc7\u5bf9\u7ed3\u679c\u7684\u53ef\u89c6\u5316\uff0c\u6211\u4eec\u5f97\u4ee5\u4eb2\u773c\u76ee\u7779 SVM \u5982\u4f55\u5728\u6570\u636e\u4e0a\u8bbe\u5b9a\u5206\u7c7b\u8fb9\u754c\uff0c\u4ee5\u53ca\u5982\u4f55\u5c06\u7ed3\u679c\u53ef\u89c6\u5316\u3002\u5728\u673a\u5668\u5b66\u4e60\u4e2d\uff0c\u53ef\u89c6\u5316\u662f\u4e86\u89e3\u548c\u6539\u8fdb\u6a21\u578b\u6027\u80fd\u7684\u4e00\u4e2a\u975e\u5e38\u6709\u7528\u7684\u5de5\u5177\u3002\u5c1d\u8bd5\u7528\u66f4\u590d\u6742\u7684\u6570\u636e\u548c\u4e0d\u540c\u7684\u6838\u6765\u6269\u5c55 SVM \u6a21\u578b\uff01<\/p>","protected":false},"excerpt":{"rendered":"<p>\u5728\u673a\u5668\u5b66\u4e60\u7684\u5206\u7c7b\u95ee\u9898\u4e2d\uff0c\u652f\u6301\u5411\u91cf\u673a\uff08SVM\uff09\u88ab\u5e7f\u6cdb\u5730\u5e94\u7528\u4e8e\u5404\u79cd\u5206\u7c7b\u95ee\u9898\u3002<\/p>","protected":false},"author":3,"featured_media":2413,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_kad_blocks_custom_css":"","_kad_blocks_head_custom_js":"","_kad_blocks_body_custom_js":"","_kad_blocks_footer_custom_js":"","_kad_post_transparent":"","_kad_post_title":"","_kad_post_layout":"","_kad_post_sidebar_id":"","_kad_post_content_style":"","_kad_post_vertical_padding":"","_kad_post_feature":"","_kad_post_feature_position":"","_kad_post_header":false,"_kad_post_footer":false,"_kad_post_classname":"","footnotes":""},"categories":[7],"tags":[208,211,210,206],"class_list":["post-2409","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-coding","tag-sklearn-","tag-svm-","tag-210","tag-206"],"taxonomy_info":{"category":[{"value":7,"label":"\uc778\uacf5\uc9c0\ub2a5(AI)"}],"post_tag":[{"value":208,"label":"Sklearn 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