{"id":30813,"date":"2023-01-23T07:27:24","date_gmt":"2023-01-23T07:27:24","guid":{"rendered":"https:\/\/staging.appliedsmartfactory.com\/semiconductor-blog\/%semiconductor-blog-category%\/tree-based-models\/"},"modified":"2026-10-08T23:27:59","modified_gmt":"2026-10-09T06:27:59","slug":"tree-based-models","status":"publish","type":"blog","link":"https:\/\/appliedsmartfactory.com\/zh-hans\/semiconductor-blog\/al-ml-zh-hans\/tree-based-models\/","title":{"rendered":"\u51b3\u7b56\u6811\u6a21\u578b\u7684\u7a81\u51fa\u4f18\u52bf"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"30813\" class=\"elementor elementor-30813 elementor-13203\" data-elementor-post-type=\"blog\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-7cfb5027 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"7cfb5027\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-282bbf59\" data-id=\"282bbf59\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-2edfe8ea elementor-widget elementor-widget-text-editor\" data-id=\"2edfe8ea\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>\u5728\u6211\u4eec\u6700\u8fd1\u7684\u5ba2\u6237\u6848\u4f8b\u201c<a style=\"color: #347da2; font-size: 18px;\" href=\"\/zh-hans\/semiconductor-blog\/al-ml-zh-hans\/achieve-accurate-lot-time\/\">\u5b9e\u73b0\u51c6\u786e\u7684\u6279\u6b21\u751f\u4ea7\u5468\u671f\u9884\u6d4b\uff0c\u63d0\u9ad8\u6309\u65f6\u4ea4\u4ed8\u7387<\/a>\u201d\u4e2d\uff0c\u6211\u4eec\u6307\u51fa\uff0c\u6700\u9002\u5408\u8be5\u5ba2\u6237\u9700\u6c42\u7684\u673a\u5668\u5b66\u4e60\u6a21\u578b\u662f\u57fa\u4e8e\u68af\u5ea6\u63d0\u5347\u6811\u7684\u673a\u5668\u5b66\u4e60\u6a21\u578b\uff0c\u5c24\u5176\u662f\u8f7b\u91cf\u68af\u5ea6\u63d0\u5347\u673a\u7684\u6a21\u578b\u90e8\u7f72\u3002\u8fd9\u4e00\u51b3\u7b56\u5f97\u5230\u4e86 Inria Saclay Centre \u548c\u7d22\u90a6\u5927\u5b66\u7684 L\u00e9o Grinsztajn\u3001Edouard Oyallon \u548c Ga\u00ebl Varoquaux \u8fd1\u671f\u7684\u7814\u7a76\u7684\u652f\u6301\uff0c\u4ed6\u4eec\u7684\u7814\u7a76\u5f97\u51fa\u7684\u7ed3\u8bba\u662f\uff0c\u5728\u5904\u7406\u4e2d\u7b49\u89c4\u6a21\u7684\u8868\u683c\u6570\u636e\u4e0a\uff0c\u51b3\u7b56\u6811\u6a21\u578b\u7684\u8868\u73b0\u4f18\u4e8e\u6df1\u5ea6\u5b66\u4e60\u3002<\/p><p>\u7814\u7a76\u4eba\u5458\u6307\u51fa\uff0c\u6df1\u5ea6\u5b66\u4e60\u201c\u5728\u6587\u672c\u548c\u56fe\u50cf\u6570\u636e\u96c6\u65b9\u9762\u53d6\u5f97\u4e86\u5de8\u5927\u8fdb\u6b65\u201d<sup>1<\/sup>\uff0c\u4f46\u76ee\u524d\u5c1a\u672a\u8bc1\u660e\u6df1\u5ea6\u5b66\u4e60\u5728\u5904\u7406\u8fd9\u4e9b\u6570\u636e\u96c6\u65b9\u9762\u5177\u6709\u4f18\u8d8a\u6027\u3002\u4e3a\u4e86\u6bd4\u8f83\u8fd9\u4e9b\u6a21\u578b\u7684\u6027\u80fd\uff0c\u4ed6\u4eec\u6536\u96c6\u4e8645\u4e2a\u8868\u683c\u6570\u636e\u96c6\uff0c\u6bcf\u4e2a\u6570\u636e\u96c6\u5305\u542b3000\u591a\u4e2a\u771f\u5b9e\u793a\u4f8b\u3002\u7136\u540e\uff0c\u4ed6\u4eec\u8bad\u7ec3\u4e86\u6807\u51c6\u548c\u65b0\u578b\u6df1\u5ea6\u5b66\u4e60\u65b9\u6cd5\uff0c\u5982\u666e\u901a\u795e\u7ecf\u7f51\u7edc\u3001ResNet \u548c\u4e24\u4e2a\u57fa\u4e8e Transformer \u7684\u6a21\u578b\uff0c\u4ee5\u53ca\u5305\u62ec XGBoost\u3001\u68af\u5ea6\u63d0\u5347\u673a\u548c\u968f\u673a\u68ee\u6797\u5728\u5185\u7684\u57fa\u4e8e\u6811\u7684\u6a21\u578b\u3002\u6bcf\u4e2a\u6a21\u578b\u90fd\u7ecf\u8fc7400\u6b21\u8bad\u7ec3\uff0c\u5728\u9884\u5b9a\u4e49\u7684\u8d85\u53c2\u6570\u7a7a\u95f4\u4e2d\u968f\u673a\u641c\u7d22\u3002<\/p><p>\u5728\u8bc4\u4f30\u6a21\u578b\u6027\u80fd\u65f6\uff0c\u5bf9\u6240\u6709\u4efb\u52a1\u8fdb\u884c\u5e73\u5747\uff0c\u6027\u80fd\u6700\u597d\u7684\u6811\u6a21\u578b\u6bd4\u6027\u80fd\u6700\u597d\u7684\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u7684\u8868\u73b0\u8fd8\u8981\u597d20%\u523030%\u3002\u7814\u7a76\u4eba\u5458\u8fd8\u53d1\u73b0\uff0c\u795e\u7ecf\u7f51\u7edc\u6bd4\u51b3\u7b56\u6811\u66f4\u5bb9\u6613\u53d7\u5230\u968f\u673a\u6216\u4e0d\u592a\u91cd\u8981\u7684\u6570\u636e\u7279\u5f81\u7684\u5f71\u54cd\u3002\u5f53\u7814\u7a76\u4eba\u5458\u79fb\u9664\u65e0\u4fe1\u606f\u7279\u5f81\u540e\uff0c\u4e24\u79cd\u6a21\u578b\u7684\u6027\u80fd\u66f4\u52a0\u76f8\u4f3c\u3002\u800c\u5728\u5411\u6570\u636e\u96c6\u4e2d\u6dfb\u52a0\u968f\u673a\u7279\u5f81\u540e\uff0c\u795e\u7ecf\u7f51\u7edc\u7684\u6027\u80fd\u6025\u5267\u4e0b\u964d\u3002<\/p><p>\u7814\u7a76\u4eba\u5458\u603b\u7ed3\u9053\uff1a\u201c\u7ed3\u679c\u8868\u660e\uff0c\u5373\u4f7f\u4e0d\u8003\u8651\u5176\u5353\u8d8a\u7684\u901f\u5ea6\uff0c\u6811\u6a21\u578b\u5728\u5904\u7406\u4e2d\u7b49\u89c4\u6a21\u6570\u636e\uff08\u7ea610,000 \u4e2a\u6837\u672c\uff09\u65b9\u9762\u4ecd\u7136\u662f\u6700\u5148\u8fdb\u7684\u3002\u201d<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-db753ba elementor-widget elementor-widget-text-editor\" data-id=\"db753ba\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><strong>\u53c2\u8003\u6587\u732e<\/strong><\/p><p>1. Grinsztajn, L., Oyallon, E., Varoquaux, G. Why do tree-based models still outperform deep learning on tabular data? NeurIPS22 Datasets and Benchmarks Track, Nov 22, New Orleans, United States. hal-03723551v2<\/p><p>\u7f51\u5740\uff1a<a class=\"link-color\" href=\"https:\/\/hal.archives-ouvertes.fr\/hal-03723551v2\" target=\"_blank\" rel=\"noopener\">https:\/\/hal.archives-ouvertes.fr\/hal-03723551v2<\/a><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>\u7814\u7a76\u8868\u660e\uff0c\u51b3\u7b56\u6811\u6a21\u578b\u5728\u5904\u7406\u8868\u683c\u6570\u636e\u65b9\u9762\u4f18\u4e8e\u6df1\u5ea6\u5b66\u4e60\u3002<\/p>\n","protected":false},"author":73,"featured_media":11587,"parent":0,"menu_order":0,"template":"","meta":{"_acf_changed":false,"_monsterinsights_skip_tracking":false},"semiconductor-blog-category":[305],"semiconductor-blog-tag":[191],"class_list":["post-30813","blog","type-blog","status-publish","has-post-thumbnail","hentry","semiconductor-blog-category-al-ml-zh-hans","semiconductor-blog-tag-semi-zh-hans"],"acf":[],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO Pro 5.0.4 - aioseo.com -->\n\t<meta name=\"description\" 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