{"id":40748,"date":"2025-05-30T11:14:51","date_gmt":"2025-05-30T03:14:51","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/40748.html"},"modified":"2025-05-30T11:14:51","modified_gmt":"2025-05-30T03:14:51","slug":"%e5%89%8d%e4%ba%ba%e6%a0%bd%e6%a0%91%ef%bc%8c%e5%90%8e%e4%ba%ba%e4%b9%98%e5%87%89-adaboost","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/40748.html","title":{"rendered":"\u524d\u4eba\u683d\u6811\uff0c\u540e\u4eba\u4e58\u51c9\u2014\u2014AdaBoost"},"content":{"rendered":"<h2>\u4e00\u3001AdaBoost\u4ecb\u7ecd<\/h2>\n<p>AdaBoost\u7684\u5168\u79f0\u662fADAPTIVE BOOSTING&#xff08;\u81ea\u9002\u5e94\u589e\u5f3a\u7b97\u6cd5&#xff09;&#xff0c;\u662f\u4e00\u79cd\u7ecf\u5178\u7684\u96c6\u6210\u5b66\u4e60\u7b97\u6cd5&#xff0c;\u5b83\u901a\u8fc7\u7ec4\u5408\u591a\u4e2a\u5f31\u5b66\u4e60\u5668\u6765\u6784\u5efa\u4e00\u4e2a\u5f3a\u5b66\u4e60\u5668\u3002<\/p>\n<p>\u4ece\u8868\u610f\u4e0a\u770b&#xff0c;AdaBoost\u5c31\u662f\u5728\u4e0d\u65ad\u5bf9\u4e8e\u9519\u8bef\u7684\u77e5\u8bc6\u70b9\u8fdb\u884c\u52a0\u6df1\u5370\u8c61&#xff0c;\u5176\u52a0\u6df1\u5370\u8c61\u7684\u65b9\u5f0f\u5219\u662f\u901a\u8fc7\u6bcf\u4e00\u8f6e\u4e2d\u6839\u636e\u524d\u4e00\u8f6e\u7684\u8868\u73b0\u5bf9\u8bad\u7ec3\u6837\u672c\u7684\u6743\u91cd\u8fdb\u884c\u8c03\u6574&#xff0c;\u4f7f\u5f97\u540e\u7eed\u7684\u5f31\u5b66\u4e60\u5668\u66f4\u52a0\u5173\u6ce8\u4e4b\u524d\u5206\u7c7b\u9519\u8bef\u7684\u6837\u672c&#xff0c;\u6700\u7ec8\u5c06\u8fd9\u4e9b\u5f31\u5b66\u4e60\u5668\u7ec4\u5408\u8d77\u6765\u5f62\u6210\u4e00\u4e2a\u5f3a\u5b66\u4e60\u5668\u6765\u5b9e\u73b0\u7684\u3002\u200b<\/p>\n<h3>\u76f8\u5173\u5b9a\u4e49<\/h3>\n<p>\u5f31\u5b66\u4e60\u5668&#xff1a;\u901a\u5e38\u662f\u7b80\u5355\u7684\u6a21\u578b&#xff0c;\u5982\u5355\u5c42\u51b3\u7b56\u6811&#xff08;\u51b3\u7b56\u6811\u6869&#xff09;\u3002<\/p>\n<p>\u200b\u5f3a\u5b66\u4e60\u5668&#xff1a;\u901a\u8fc7\u52a0\u6743\u7ec4\u5408\u591a\u4e2a\u5f31\u5b66\u4e60\u5668\u5f97\u5230\u7684\u6700\u7ec8\u6a21\u578b\u3002<\/p>\n<h2>\u4e8c\u3001\u5177\u4f53\u5b9e\u73b0\u6b65\u9aa4<\/h2>\n<p>\u73b0\u5728\u4ee5\u9009\u62e9\u5f31\u5b66\u4e60\u5668\u4e3a\u51b3\u7b56\u6811&#xff1a;\u5b66\u4e60\u65b9\u5f0f\u5b9e\u73b0\u5982\u4e0b&#xff1a;<\/p>\n<h3>1. \u521d\u59cb\u5316\u6837\u672c\u6743\u91cd<\/h3>\n<p>\u5728\u8bad\u7ec3\u5f00\u59cb\u65f6&#xff0c;AdaBoost\u4f1a\u4e3a\u6bcf\u4e2a\u6837\u672c\u5206\u914d\u4e00\u4e2a\u521d\u59cb\u6743\u91cd\u3002\u5047\u8bbe\u8bad\u7ec3\u96c6\u4e2d\u6709 N \u4e2a\u6837\u672c&#xff0c;\u90a3\u4e48\u6bcf\u4e2a\u6837\u672c\u7684\u521d\u59cb\u6743\u91cd\u4e3a&#xff1a;<\/p>\n<p style=\"text-align:center\"><img decoding=\"async\" alt=\"\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2025\/05\/20250530031449-683922a991c18.jpg\" \/><\/p>\n<p>\u8fd9\u4e9b\u6743\u91cd\u8868\u793a\u6bcf\u4e2a\u6837\u672c\u5728\u8bad\u7ec3\u8fc7\u7a0b\u4e2d\u7684\u201c\u91cd\u8981\u6027\u201d&#xff0c;\u521d\u59cb\u65f6\u6240\u6709\u6837\u672c\u7684\u91cd\u8981\u6027\u662f\u76f8\u540c\u7684\u3002<\/p>\n<h3>2. \u8bad\u7ec3\u5f31\u5b66\u4e60\u5668<\/h3>\n<p>AdaBoost\u4f1a\u4f9d\u6b21\u8bad\u7ec3\u591a\u4e2a\u5f31\u5b66\u4e60\u5668\u3002\u5728\u6bcf\u4e00\u8f6e\u8bad\u7ec3\u4e2d&#xff0c;\u5b83\u4f1a\u6839\u636e\u5f53\u524d\u7684\u6837\u672c\u6743\u91cd\u6765\u8bad\u7ec3\u4e00\u4e2a\u5f31\u5b66\u4e60\u5668\u3002\u5f31\u5b66\u4e60\u5668\u7684\u76ee\u6807\u662f\u6839\u636e\u5f53\u524d\u7684\u6743\u91cd\u5206\u5e03\u627e\u5230\u4e00\u4e2a\u80fd\u591f\u8f83\u597d\u533a\u5206\u6837\u672c\u7684\u6a21\u578b\u3002<\/p>\n<h3>3. \u8ba1\u7b97\u5f31\u5b66\u4e60\u5668\u7684\u9519\u8bef\u7387<\/h3>\n<p>\u5728\u8bad\u7ec3\u5b8c\u4e00\u4e2a\u5f31\u5b66\u4e60\u5668\u540e&#xff0c;AdaBoost\u4f1a\u8ba1\u7b97\u8be5\u5f31\u5b66\u4e60\u5668\u5728\u5f53\u524d\u6837\u672c\u6743\u91cd\u5206\u5e03\u4e0b\u7684\u9519\u8bef\u7387 &#xff1a;\u200b<\/p>\n<p style=\"text-align:center\"><img decoding=\"async\" alt=\"\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2025\/05\/20250530031449-683922a9aae0b.jpg\" \/><\/p>\n<p>\u00a0\u542b\u4e49\u4e3a&#xff1a;\u5f53\u9884\u6d4b\u503c\u4e0e\u771f\u5b9e\u6807\u7b7e\u76f8\u7b49&#xff0c;\u6307\u793a\u51fd\u6570\u8f93\u51fa\u7ed3\u679c\u4e3a1&#xff08;\u5426\u5219\u4e3a0&#xff09;&#xff0c;\u6b64\u65f6\u6743\u91cd\u8d8a\u9ad8\u60e9\u7f5a\u5c31\u4f1a\u8d8a\u5927<\/p>\n<h3>4. \u66f4\u65b0\u6837\u672c\u6743\u91cd<\/h3>\n<p>\u6839\u636e\u5f31\u5b66\u4e60\u5668\u7684\u9519\u8bef\u7387&#xff0c;AdaBoost\u4f1a\u66f4\u65b0\u6837\u672c\u6743\u91cd\u3002\u5bf9\u4e8e\u7b2c t \u8f6e\u8bad\u7ec3\u540e\u7684\u6837\u672c\u6743\u91cd\u66f4\u65b0\u516c\u5f0f\u4e3a&#xff1a;<\/p>\n<p style=\"text-align:center\"><img decoding=\"async\" alt=\"\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2025\/05\/20250530031449-683922a9e2df5.jpg\" \/><\/p>\n<p>\u5176\u4e2d&#xff1a;<\/p>\n<p style=\"text-align:center\"><img decoding=\"async\" alt=\"\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2025\/05\/20250530031450-683922aa124d2.jpg\" \/><\/p>\n<p>\u00a0y\u00b7h&#xff08;x&#xff09;\u8868\u793a\u771f\u5b9e\u6807\u7b7e\u4e0e\u5f31\u673a\u5668\u5b66\u4e60\u9884\u6d4b\u6807\u7b7e\u7684\u4e58\u79ef&#xff0c;\u82e5\u9884\u6d4b\u6b63\u786e\u5219\u4e3a1&#xff0c;\u9884\u6d4b\u9519\u8bef\u5219\u662f-1<\/p>\n<h3>5. \u5f52\u4e00\u5316\u6837\u672c\u6743\u91cd<\/h3>\n<p>\u66f4\u65b0\u540e\u7684\u6837\u672c\u6743\u91cd\u9700\u8981\u8fdb\u884c\u5f52\u4e00\u5316&#xff0c;\u4ee5\u786e\u4fdd\u6240\u6709\u6837\u672c\u6743\u91cd\u4e4b\u548c\u4e3a 1&#xff1a;<\/p>\n<p style=\"text-align:center\"><img decoding=\"async\" alt=\"\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2025\/05\/20250530031450-683922aa465f1.jpg\" \/><\/p>\n<h3>\u00a06. \u91cd\u590d\u8bad\u7ec3\u548c\u66f4\u65b0<\/h3>\n<p>AdaBoost\u4f1a\u91cd\u590d\u4e0a\u8ff0\u6b65\u9aa4&#xff0c;\u8bad\u7ec3\u591a\u4e2a\u5f31\u5b66\u4e60\u5668&#xff0c;\u5e76\u9010\u6b65\u8c03\u6574\u6837\u672c\u6743\u91cd\u3002\u968f\u7740\u8bad\u7ec3\u7684\u8fdb\u884c&#xff0c;\u90a3\u4e9b\u88ab\u5f31\u5b66\u4e60\u5668\u9519\u8bef\u5206\u7c7b\u7684\u6837\u672c\u6743\u91cd\u4f1a\u4e0d\u65ad\u589e\u52a0&#xff0c;\u4ece\u800c\u5728\u540e\u7eed\u7684\u8bad\u7ec3\u4e2d\u53d7\u5230\u66f4\u591a\u7684\u5173\u6ce8\u3002<\/p>\n<h2>\u4e09\u3001\u5b9e\u4f8b\u5e94\u7528<\/h2>\n<h3>1.\u5bfc\u5165\u5fc5\u8981\u7684\u5e93<\/h3>\n<p>import numpy as np<br \/>\nimport pandas as pd<br \/>\nfrom sklearn.datasets import load_iris<br \/>\nfrom sklearn.model_selection import train_test_split<br \/>\nfrom sklearn.tree import DecisionTreeClassifier<br \/>\nfrom sklearn.ensemble import AdaBoostClassifier<br \/>\nfrom sklearn.metrics import accuracy_score, classification_report <\/p>\n<p>\u89e3\u6790&#xff1a;<\/p>\n<p>\u2022 &#096;numpy&#096;\u548c&#096;pandas&#096;\u7528\u4e8e\u6570\u636e\u5904\u7406\u3002<\/p>\n<p>\u2022 &#096;load_iris&#096;\u7528\u4e8e\u52a0\u8f7d\u9e22\u5c3e\u82b1\u6570\u636e\u96c6\u3002<\/p>\n<p>\u2022 &#096;train_test_split&#096;\u7528\u4e8e\u5c06\u6570\u636e\u96c6\u5212\u5206\u4e3a\u8bad\u7ec3\u96c6\u548c\u6d4b\u8bd5\u96c6\u3002<\/p>\n<p>\u2022 &#096;DecisionTreeClassifier&#096;\u662f\u6211\u4eec\u9009\u62e9\u7684\u5f31\u5b66\u4e60\u5668\u3002<\/p>\n<p>\u2022 &#096;AdaBoostClassifier&#096;\u662fAdaBoost\u7b97\u6cd5\u7684\u5b9e\u73b0\u3002<\/p>\n<p>\u2022 &#096;accuracy_score&#096;\u548c&#096;classification_report&#096;\u7528\u4e8e\u8bc4\u4f30\u6a21\u578b\u6027\u80fd\u3002<\/p>\n<h3> 2.\u52a0\u8f7d\u6570\u636e\u96c6<\/h3>\n<p># \u52a0\u8f7d\u9e22\u5c3e\u82b1\u6570\u636e\u96c6<br \/>\niris &#061; load_iris()<br \/>\nX &#061; iris.data \u00a0# \u7279\u5f81\u6570\u636e<br \/>\ny &#061; iris.target \u00a0# \u6807\u7b7e\u6570\u636e<\/p>\n<p># \u5c06\u6570\u636e\u96c6\u5212\u5206\u4e3a\u8bad\u7ec3\u96c6\u548c\u6d4b\u8bd5\u96c6<br \/>\nX_train, X_test, y_train, y_test &#061; train_test_split(X, y, test_size&#061;0.3, random_state&#061;42) <\/p>\n<p>\u89e3\u6790&#xff1a;<\/p>\n<p>\u2022 &#096;load_iris()&#096;\u52a0\u8f7d\u9e22\u5c3e\u82b1\u6570\u636e\u96c6&#xff0c;\u8fd4\u56de\u4e00\u4e2a\u5305\u542b\u7279\u5f81\u548c\u6807\u7b7e\u7684Bunch\u5bf9\u8c61\u3002<\/p>\n<p>\u2022 &#096;X&#096;\u662f\u7279\u5f81\u6570\u636e&#xff0c;&#096;y&#096;\u662f\u6807\u7b7e\u6570\u636e\u3002<\/p>\n<p>\u2022 &#096;train_test_split&#096;\u5c06\u6570\u636e\u96c6\u5212\u5206\u4e3a\u8bad\u7ec3\u96c6\u548c\u6d4b\u8bd5\u96c6&#xff0c;\u5176\u4e2d\u6d4b\u8bd5\u96c6\u536030%\u3002&#096;random_state&#061;42&#096;\u786e\u4fdd\u6bcf\u6b21\u5212\u5206\u7ed3\u679c\u4e00\u81f4\u3002<\/p>\n<h3> 3.\u5b9a\u4e49\u5f31\u5b66\u4e60\u5668\u548cAdaBoost\u6a21\u578b<\/h3>\n<p># \u5b9a\u4e49\u5f31\u5b66\u4e60\u5668<br \/>\nbase_estimator &#061; DecisionTreeClassifier(max_depth&#061;1)<\/p>\n<p># \u4f7f\u7528\u517c\u5bb9\u6240\u6709\u7248\u672c\u7684\u53c2\u6570\u540d<br \/>\nadaboost &#061; AdaBoostClassifier(<br \/>\n    estimator&#061;base_estimator,<br \/>\n    n_estimators&#061;50,<br \/>\n    random_state&#061;42<br \/>\n) <\/p>\n<p>\u89e3\u6790&#xff1a;<\/p>\n<p>\u2022 &#096;DecisionTreeClassifier(max_depth&#061;1)&#096;\u5b9a\u4e49\u4e86\u4e00\u4e2a\u6df1\u5ea6\u4e3a1\u7684\u51b3\u7b56\u6811\u4f5c\u4e3a\u5f31\u5b66\u4e60\u5668\u3002\u8fd9\u79cd\u51b3\u7b56\u6811\u4e5f\u79f0\u4e3a\u51b3\u7b56\u6811\u6869&#xff0c;\u662fAdaBoost\u4e2d\u5e38\u7528\u7684\u5f31\u5b66\u4e60\u5668\u3002<\/p>\n<p>\u2022 &#096;AdaBoostClassifier&#096;\u662fAdaBoost\u7b97\u6cd5\u7684\u5b9e\u73b0\u3002&#096;base_estimator&#096;\u6307\u5b9a\u4e86\u5f31\u5b66\u4e60\u5668&#xff0c;&#096;n_estimators&#061;50&#096;\u8868\u793a\u8bad\u7ec350\u4e2a\u5f31\u5b66\u4e60\u5668&#xff0c;&#096;random_state&#061;42&#096;\u786e\u4fdd\u6bcf\u6b21\u8bad\u7ec3\u7ed3\u679c\u4e00\u81f4\u3002<\/p>\n<h3> 4.\u8bad\u7ec3\u6a21\u578b<\/h3>\n<p># \u8bad\u7ec3AdaBoost\u6a21\u578b<br \/>\nadaboost.fit(X_train, y_train) <\/p>\n<p>\u89e3\u6790&#xff1a;<\/p>\n<p>\u2022 &#096;adaboost.fit(X_train, y_train)&#096;\u4f7f\u7528\u8bad\u7ec3\u96c6\u6570\u636e\u8bad\u7ec3AdaBoost\u6a21\u578b\u3002\u5728\u8bad\u7ec3\u8fc7\u7a0b\u4e2d&#xff0c;AdaBoost\u4f1a\u9010\u6b65\u8c03\u6574\u6837\u672c\u6743\u91cd&#xff0c;\u5e76\u8bad\u7ec3\u591a\u4e2a\u5f31\u5b66\u4e60\u5668\u3002<\/p>\n<h3> 5.\u9884\u6d4b\u548c\u8bc4\u4f30<\/h3>\n<p># \u5728\u6d4b\u8bd5\u96c6\u4e0a\u8fdb\u884c\u9884\u6d4b<br \/>\ny_pred &#061; adaboost.predict(X_test)<\/p>\n<p># \u8ba1\u7b97\u51c6\u786e\u7387<br \/>\naccuracy &#061; accuracy_score(y_test, y_pred)<br \/>\nprint(f&#034;Accuracy: {accuracy:.4f}&#034;)<\/p>\n<p># \u6253\u5370\u5206\u7c7b\u62a5\u544a<br \/>\nprint(&#034;Classification Report:&#034;)<br \/>\nprint(classification_report(y_test, y_pred, target_names&#061;iris.target_names)) <\/p>\n<p>\u89e3\u6790&#xff1a;<\/p>\n<p>\u2022 &#096;adaboost.predict(X_test)&#096;\u4f7f\u7528\u8bad\u7ec3\u597d\u7684\u6a21\u578b\u5bf9\u6d4b\u8bd5\u96c6\u8fdb\u884c\u9884\u6d4b\u3002<\/p>\n<p>\u2022 &#096;accuracy_score(y_test, y_pred)&#096;\u8ba1\u7b97\u6a21\u578b\u7684\u51c6\u786e\u7387\u3002<\/p>\n<p>\u2022 &#096;classification_report(y_test, y_pred, target_names&#061;iris.target_names)&#096;\u6253\u5370\u8be6\u7ec6\u7684\u5206\u7c7b\u62a5\u544a&#xff0c;\u5305\u62ec\u6bcf\u4e2a\u7c7b\u522b\u7684\u7cbe\u786e\u7387\u3001\u53ec\u56de\u7387\u548cF1\u5206\u6570\u3002<\/p>\n<h2 style=\"text-align:center\"><img decoding=\"async\" alt=\"\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2025\/05\/20250530031450-683922aa795b1.png\" \/><\/h2>\n<h2>\u56db\u3001\u6a21\u578b\u8bc4\u4ef7<\/h2>\n<h3>\u4f18\u70b9<\/h3>\n<h4>\u200b\u200b1. \u81ea\u52a8\u5173\u6ce8\u5c11\u6570\u7c7b\u6837\u672c\u200b&#xff1a;<\/h4>\n<p>\u200bAdaBoost\u901a\u8fc7\u589e\u52a0\u9519\u8bef\u5206\u7c7b\u6837\u672c\u7684\u6743\u91cd&#xff0c;\u4f7f\u5f97\u6a21\u578b\u5728\u540e\u7eed\u8fed\u4ee3\u4e2d\u66f4\u52a0\u5173\u6ce8\u8fd9\u4e9b\u6837\u672c\u3002\u5728\u7c7b\u522b\u4e0d\u5e73\u8861\u7684\u60c5\u51b5\u4e0b&#xff0c;\u5c11\u6570\u7c7b\u6837\u672c\u5f80\u5f80\u66f4\u5bb9\u6613\u88ab\u9519\u8bef\u5206\u7c7b&#xff0c;\u56e0\u6b64\u5b83\u4eec\u7684\u6743\u91cd\u4f1a\u9010\u6e10\u589e\u52a0\u3002\u200b\u8fd9\u79cd\u673a\u5236\u53ef\u4ee5\u5e2e\u52a9\u6a21\u578b\u66f4\u597d\u5730\u5b66\u4e60\u5c11\u6570\u7c7b\u6837\u672c\u7684\u7279\u5f81&#xff0c;\u4ece\u800c\u63d0\u9ad8\u5bf9\u5c11\u6570\u7c7b\u7684\u5206\u7c7b\u6027\u80fd&#xff0c;\u7b14\u8005\u5728\u8fdb\u884c\u6253\u677f\u98ce\u63a7\u9884\u6d4b\u65f6&#xff0c;\u9009\u62e9\u8fd9\u4e2a\u6a21\u578b\u7b80\u5355\u5c1d\u8bd5\u4e86\u4e00\u4e0b&#xff0c;\u56e0\u4e3a\u6253\u677f\u5c31\u5c5e\u4e8e\u4e00\u79cd\u6bd4\u8f83\u5c11\u89c1\u7684\u60c5\u51b5&#xff0c;\u4e14\u6570\u636e\u6b63\u6837\u672c\u8fc7\u5c11SMOTE\u7b49\u65b9\u6cd5\u6570\u636e\u589e\u5f3a\u4e5f\u6709\u96be\u5ea6&#xff0c;\u4f46\u4ec5\u4ec5\u53ea\u662f\u628a\u968f\u673a\u68ee\u6797\u6362\u6210AdaBoost\u8fd9\u4e00\u4e3e\u52a8\u5c31\u4ee4\u56de\u6d4b\u65f6\u7684\u6536\u76ca\u7387\u63d0\u5347\u4e86\u5c06\u8fd1\u767e\u5206\u4e4b\u5341\u3002<\/p>\n<h4>\u200b2. \u52a8\u6001\u8c03\u6574\u6743\u91cd\u200b&#xff1a;<\/h4>\n<p>\u200bAdaBoost\u7684\u6743\u91cd\u8c03\u6574\u673a\u5236\u662f\u52a8\u6001\u7684&#xff0c;\u5b83\u4f1a\u6839\u636e\u6bcf\u8f6e\u5f31\u5b66\u4e60\u5668\u7684\u9884\u6d4b\u7ed3\u679c\u5b9e\u65f6\u8c03\u6574\u6837\u672c\u6743\u91cd\u3002\u8fd9\u610f\u5473\u7740\u5373\u4f7f\u5c11\u6570\u7c7b\u6837\u672c\u5728\u521d\u59cb\u9636\u6bb5\u88ab\u9519\u8bef\u5206\u7c7b&#xff0c;\u540e\u7eed\u7684\u5f31\u5b66\u4e60\u5668\u4e5f\u4f1a\u9010\u6e10\u5173\u6ce8\u5b83\u4eec\u3002\u200b\u8fd9\u79cd\u52a8\u6001\u8c03\u6574\u80fd\u529b\u4f7f\u5f97AdaBoost\u5728\u5904\u7406\u7c7b\u522b\u4e0d\u5e73\u8861\u95ee\u9898\u65f6\u5177\u6709\u4e00\u5b9a\u7684\u9002\u5e94\u6027\u3002\u200b<\/p>\n<h4>3. 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