{"id":6057,"date":"2024-05-29T10:11:35","date_gmt":"2024-05-29T02:11:35","guid":{"rendered":"https:\/\/t.n-years.com\/?p=6057"},"modified":"2024-05-29T10:11:35","modified_gmt":"2024-05-29T02:11:35","slug":"sklearn-%e6%a1%86%e6%9e%b6%e7%b3%bb%e7%bb%9f%e6%80%a7%e6%a6%82%e8%a6%81%e4%bb%8b%e7%bb%8d","status":"publish","type":"post","link":"https:\/\/t.n-years.com\/?p=6057","title":{"rendered":"sklearn \u6846\u67b6\u7cfb\u7edf\u6027\u6982\u8981\u4ecb\u7ecd"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">\u975e\u539f\u521b\uff0cChatGPT \u95ee\u7b54\u751f\u6210\u3002<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Scikit-learn\uff08\u7b80\u79f0 sklearn\uff09\u662f\u4e00\u4e2a\u7528\u4e8e\u673a\u5668\u5b66\u4e60\u7684\u5f00\u6e90 Python \u5e93\u3002\u5b83\u6784\u5efa\u5728 NumPy\u3001SciPy \u548c matplotlib \u4e4b\u4e0a\uff0c\u63d0\u4f9b\u4e86\u7b80\u5355\u800c\u9ad8\u6548\u7684\u5de5\u5177\u8fdb\u884c\u6570\u636e\u6316\u6398\u548c\u6570\u636e\u5206\u6790\u3002\u4ee5\u4e0b\u662f Scikit-learn \u6846\u67b6\u7684\u4e00\u4e9b\u7cfb\u7edf\u6027\u6982\u8981\u4ecb\u7ecd\uff0c\u5305\u62ec\u5176\u4e3b\u8981\u529f\u80fd\u3001\u6838\u5fc3\u7ec4\u4ef6\u548c\u57fa\u672c\u4f7f\u7528\u793a\u4f8b\u3002<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">\u6838\u5fc3\u7ec4\u4ef6<\/h3>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>\u6570\u636e\u9884\u5904\u7406<\/strong>\uff1a<\/li>\n<\/ol>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\u63d0\u4f9b\u6570\u636e\u6807\u51c6\u5316\u3001\u5f52\u4e00\u5316\u3001\u7f16\u7801\u7b49\u529f\u80fd\u3002<\/li>\n\n\n\n<li>\u4f8b\u5982\uff1a<code>StandardScaler<\/code>, <code>MinMaxScaler<\/code>, <code>LabelEncoder<\/code>, <code>OneHotEncoder<\/code> \u7b49\u3002<\/li>\n<\/ul>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>\u6570\u636e\u96c6<\/strong>\uff1a<\/li>\n<\/ol>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\u5305\u542b\u4e86\u4e00\u4e9b\u5185\u7f6e\u7684\u5c0f\u578b\u6570\u636e\u96c6\u7528\u4e8e\u6559\u5b66\u548c\u793a\u4f8b\u3002<\/li>\n\n\n\n<li>\u63d0\u4f9b\u751f\u6210\u6a21\u62df\u6570\u636e\u96c6\u7684\u5de5\u5177\u3002<\/li>\n\n\n\n<li>\u4f8b\u5982\uff1a<code>load_iris<\/code>, <code>load_digits<\/code>, <code>make_classification<\/code>, <code>make_regression<\/code> \u7b49\u3002<\/li>\n<\/ul>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>\u6a21\u578b\u9009\u62e9<\/strong>\uff1a<\/li>\n<\/ol>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\u63d0\u4f9b\u5de5\u5177\u8fdb\u884c\u4ea4\u53c9\u9a8c\u8bc1\u3001\u7f51\u683c\u641c\u7d22\u3001\u968f\u673a\u641c\u7d22\u7b49\u3002<\/li>\n\n\n\n<li>\u4f8b\u5982\uff1a<code>train_test_split<\/code>, <code>cross_val_score<\/code>, <code>GridSearchCV<\/code>, <code>RandomizedSearchCV<\/code> \u7b49\u3002<\/li>\n<\/ul>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>\u76d1\u7763\u5b66\u4e60\u7b97\u6cd5<\/strong>\uff1a<\/li>\n<\/ol>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\u56de\u5f52\uff1a<code>LinearRegression<\/code>, <code>Ridge<\/code>, <code>Lasso<\/code>, <code>ElasticNet<\/code>, <code>SVR<\/code>, <code>DecisionTreeRegressor<\/code> \u7b49\u3002<\/li>\n\n\n\n<li>\u5206\u7c7b\uff1a<code>LogisticRegression<\/code>, <code>KNeighborsClassifier<\/code>, <code>SVC<\/code>, <code>DecisionTreeClassifier<\/code>, <code>RandomForestClassifier<\/code>, <code>GradientBoostingClassifier<\/code> \u7b49\u3002<\/li>\n<\/ul>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>\u65e0\u76d1\u7763\u5b66\u4e60\u7b97\u6cd5<\/strong>\uff1a<\/li>\n<\/ol>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\u805a\u7c7b\uff1a<code>KMeans<\/code>, <code>DBSCAN<\/code>, <code>AgglomerativeClustering<\/code> \u7b49\u3002<\/li>\n\n\n\n<li>\u964d\u7ef4\uff1a<code>PCA<\/code>, <code>KernelPCA<\/code>, <code>TruncatedSVD<\/code> \u7b49\u3002<\/li>\n<\/ul>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>\u6a21\u578b\u8bc4\u4f30<\/strong>\uff1a<\/li>\n<\/ol>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\u63d0\u4f9b\u591a\u79cd\u6a21\u578b\u8bc4\u4f30\u6307\u6807\u548c\u5de5\u5177\u3002<\/li>\n\n\n\n<li>\u4f8b\u5982\uff1a<code>accuracy_score<\/code>, <code>precision_score<\/code>, <code>recall_score<\/code>, <code>f1_score<\/code>, <code>roc_auc_score<\/code> \u7b49\u3002<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">\u4e3b\u8981\u529f\u80fd<\/h3>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>\u6570\u636e\u9884\u5904\u7406<\/strong><\/li>\n<\/ol>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\u6570\u636e\u6807\u51c6\u5316\u3001\u5f52\u4e00\u5316\u3001\u7279\u5f81\u9009\u62e9\u548c\u7279\u5f81\u63d0\u53d6\u3002<\/li>\n<\/ul>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>\u6a21\u578b\u9009\u62e9\u548c\u8bc4\u4f30<\/strong><\/li>\n<\/ol>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\u4ea4\u53c9\u9a8c\u8bc1\u3001\u8d85\u53c2\u6570\u8c03\u4f18\u3001\u8bc4\u4f30\u6307\u6807\u7b49\u3002<\/li>\n<\/ul>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>\u76d1\u7763\u5b66\u4e60<\/strong><\/li>\n<\/ol>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\u56de\u5f52\u548c\u5206\u7c7b\u7b97\u6cd5\u3002<\/li>\n<\/ul>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>\u65e0\u76d1\u7763\u5b66\u4e60<\/strong><\/li>\n<\/ol>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\u805a\u7c7b\u3001\u964d\u7ef4\u548c\u5f02\u5e38\u68c0\u6d4b\u3002<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">\u793a\u4f8b\u4ee3\u7801<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">\u4ee5\u4e0b\u662f\u4e00\u4e2a\u57fa\u672c\u7684\u673a\u5668\u5b66\u4e60\u5de5\u4f5c\u6d41\u7a0b\u793a\u4f8b\uff0c\u5305\u62ec\u6570\u636e\u52a0\u8f7d\u3001\u9884\u5904\u7406\u3001\u6a21\u578b\u8bad\u7ec3\u3001\u9884\u6d4b\u548c\u8bc4\u4f30\u3002<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">1. \u6570\u636e\u52a0\u8f7d\u548c\u9884\u5904\u7406<\/h4>\n\n\n\n<pre class=\"wp-block-code\"><code>import numpy as np\nimport pandas as pd\nfrom sklearn.datasets import load_iris\nfrom sklearn.model_selection import train_test_split\nfrom sklearn.preprocessing import StandardScaler\n\n# \u52a0\u8f7d\u6570\u636e\u96c6\ndata = load_iris()\nX = data.data\ny = data.target\n\n# \u62c6\u5206\u6570\u636e\u96c6\u4e3a\u8bad\u7ec3\u96c6\u548c\u6d4b\u8bd5\u96c6\nX_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)\n\n# \u6570\u636e\u6807\u51c6\u5316\nscaler = StandardScaler()\nX_train = scaler.fit_transform(X_train)\nX_test = scaler.transform(X_test)<\/code><\/pre>\n\n\n\n<h4 class=\"wp-block-heading\">2. \u6a21\u578b\u8bad\u7ec3\u548c\u9884\u6d4b<\/h4>\n\n\n\n<pre class=\"wp-block-code\"><code>from sklearn.linear_model import LogisticRegression\n\n# \u521b\u5efa\u6a21\u578b\nmodel = LogisticRegression()\n\n# \u8bad\u7ec3\u6a21\u578b\nmodel.fit(X_train, y_train)\n\n# \u9884\u6d4b\ny_pred = model.predict(X_test)<\/code><\/pre>\n\n\n\n<h4 class=\"wp-block-heading\">3. \u6a21\u578b\u8bc4\u4f30<\/h4>\n\n\n\n<pre class=\"wp-block-code\"><code>from sklearn.metrics import accuracy_score, classification_report\n\n# \u8ba1\u7b97\u51c6\u786e\u7387\naccuracy = accuracy_score(y_test, y_pred)\nprint(f'Accuracy: {accuracy:.2f}')\n\n# \u6253\u5370\u5206\u7c7b\u62a5\u544a\nprint(classification_report(y_test, y_pred, target_names=data.target_names))<\/code><\/pre>\n\n\n\n<p class=\"wp-block-paragraph\">\u8f93\u51fa\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>Accuracy: 1.00\n              precision    recall  f1-score   support\n\n      setosa       1.00      1.00      1.00         8\n  versicolor       1.00      1.00      1.00        11\n   virginica       1.00      1.00      1.00        11\n\n    accuracy                           1.00        30\n   macro avg       1.00      1.00      1.00        30\nweighted avg       1.00      1.00      1.00        30<\/code><\/pre>\n\n\n\n<h3 class=\"wp-block-heading\">\u603b\u7ed3<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Scikit-learn \u662f\u4e00\u4e2a\u529f\u80fd\u5f3a\u5927\u4e14\u6613\u4e8e\u4f7f\u7528\u7684\u673a\u5668\u5b66\u4e60\u5e93\uff0c\u9002\u7528\u4e8e\u5404\u79cd\u6570\u636e\u6316\u6398\u548c\u6570\u636e\u5206\u6790\u4efb\u52a1\u3002\u5176\u6838\u5fc3\u7ec4\u4ef6\u548c\u529f\u80fd\u6db5\u76d6\u4e86\u4ece\u6570\u636e\u9884\u5904\u7406\u3001\u6a21\u578b\u9009\u62e9\u3001\u6a21\u578b\u8bad\u7ec3\u5230\u6a21\u578b\u8bc4\u4f30\u7684\u5b8c\u6574\u5de5\u4f5c\u6d41\u7a0b\uff0c\u9002\u5408\u4e0d\u540c\u5c42\u6b21\u7684\u7528\u6237\u4f7f\u7528\uff0c\u4ece\u5165\u95e8\u5230\u9ad8\u7ea7\u5e94\u7528\u3002\u901a\u8fc7\u5b66\u4e60\u548c\u638c\u63e1 Scikit-learn\uff0c\u53ef\u4ee5\u6709\u6548\u5730\u8fdb\u884c\u5404\u79cd\u673a\u5668\u5b66\u4e60\u4efb\u52a1\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u975e\u539f\u521b\uff0cChatGPT \u95ee\u7b54\u751f\u6210\u3002 Scikit-learn\uff08\u7b80\u79f0 sklearn\uff09\u662f\u4e00\u4e2a\u7528\u4e8e\u673a\u5668\u5b66\u4e60\u7684\u5f00\u6e90 &#8230; <\/p>\n<div class=\"read-more navbutton\"><a href=\"https:\/\/t.n-years.com\/?p=6057\">\u9605\u8bfb\u66f4\u591a<i class=\"fa fa-angle-double-right\"><\/i><\/a><\/div>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[5],"tags":[53,52,56,51],"class_list":["post-6057","post","type-post","status-publish","format-standard","hentry","category-5","tag-llm","tag-52","tag-56","tag-51"],"_links":{"self":[{"href":"https:\/\/t.n-years.com\/index.php?rest_route=\/wp\/v2\/posts\/6057","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/t.n-years.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/t.n-years.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/t.n-years.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/t.n-years.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=6057"}],"version-history":[{"count":1,"href":"https:\/\/t.n-years.com\/index.php?rest_route=\/wp\/v2\/posts\/6057\/revisions"}],"predecessor-version":[{"id":6058,"href":"https:\/\/t.n-years.com\/index.php?rest_route=\/wp\/v2\/posts\/6057\/revisions\/6058"}],"wp:attachment":[{"href":"https:\/\/t.n-years.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=6057"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/t.n-years.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=6057"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/t.n-years.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=6057"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}