{"id":560,"date":"2023-11-06T19:14:23","date_gmt":"2023-11-06T11:14:23","guid":{"rendered":"http:\/\/ai.gitpp.com\/?p=560"},"modified":"2023-11-06T19:14:23","modified_gmt":"2023-11-06T11:14:23","slug":"%e6%9c%b4%e7%b4%a0%e8%b4%9d%e5%8f%b6%e6%96%af%ef%bc%88naive-bayes%ef%bc%89%e6%98%af%e4%b8%80%e7%a7%8d%e5%9f%ba%e4%ba%8e%e8%b4%9d%e5%8f%b6%e6%96%af%e5%ae%9a%e7%90%86%e5%92%8c%e7%89%b9%e5%be%81%e6%9d%a1","status":"publish","type":"post","link":"http:\/\/ai.gitpp.com\/index.php\/2023\/11\/06\/%e6%9c%b4%e7%b4%a0%e8%b4%9d%e5%8f%b6%e6%96%af%ef%bc%88naive-bayes%ef%bc%89%e6%98%af%e4%b8%80%e7%a7%8d%e5%9f%ba%e4%ba%8e%e8%b4%9d%e5%8f%b6%e6%96%af%e5%ae%9a%e7%90%86%e5%92%8c%e7%89%b9%e5%be%81%e6%9d%a1\/","title":{"rendered":"\u6734\u7d20\u8d1d\u53f6\u65af\uff08Naive Bayes\uff09\u662f\u4e00\u79cd\u57fa\u4e8e\u8d1d\u53f6\u65af\u5b9a\u7406\u548c\u7279\u5f81\u6761\u4ef6\u72ec\u7acb\u5047\u8bbe\u7684\u5206\u7c7b\u65b9\u6cd5"},"content":{"rendered":"\n<p><\/p>\n\n\n\n<p>\u6734\u7d20\u8d1d\u53f6\u65af\uff08Naive Bayes\uff09\u662f\u4e00\u79cd\u57fa\u4e8e\u8d1d\u53f6\u65af\u5b9a\u7406\u548c\u7279\u5f81\u6761\u4ef6\u72ec\u7acb\u5047\u8bbe\u7684\u5206\u7c7b\u65b9\u6cd5\u3002\u5728 Python \u4e2d\uff0c\u6211\u4eec\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u6b65\u9aa4\u5b9e\u73b0\u6734\u7d20\u8d1d\u53f6\u65af\u5206\u7c7b\u5668\uff1a<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u5bfc\u5165\u6240\u9700\u5e93\uff1a<\/li>\n<\/ol>\n\n\n\n<p>&#8220;`python<br>import numpy as np<br>import matplotlib.pyplot as plt<br>from sklearn.feature_extraction.text import CountVectorizer<br>from sklearn.naive_bayes import MultinomialNB<br>from sklearn.model_selection import train_test_split<br>from sklearn.metrics import accuracy_score<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>2. \u51c6\u5907\u6570\u636e\u96c6\uff1a<\/code><\/pre>\n\n\n\n<p>python<\/p>\n\n\n\n<h1 class=\"wp-block-heading\">\u793a\u4f8b\u6570\u636e\u96c6<\/h1>\n\n\n\n<p>data = [<br>[&#8220;\u8fd9\u662f\u4e00\u4e2a\u597d\u7684\u6587\u7ae0&#8221;, &#8220;\u8fd9\u662f&#8221;],<br>[&#8220;\u8fd9\u662f\u4e00\u7bc7\u975e\u5e38\u597d\u7684\u6587\u7ae0&#8221;, &#8220;\u8fd9\u662f&#8221;],<br>[&#8220;\u8fd9\u662f\u4e00\u7bc7\u5f88\u5dee\u7684\u6587\u7ae0&#8221;, &#8220;\u8fd9\u662f&#8221;],<br>]<br>labels = [0, 0, 1]<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>3. \u5212\u5206\u6570\u636e\u96c6\u4e3a\u8bad\u7ec3\u96c6\u548c\u6d4b\u8bd5\u96c6\uff1a<\/code><\/pre>\n\n\n\n<p>python<br>X_train, X_test, y_train, y_test = train_test_split(data, labels, test_size=0.3, random_state=42)<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>4. \u7279\u5f81\u63d0\u53d6\uff1a<\/code><\/pre>\n\n\n\n<p>python<br>vectorizer = CountVectorizer()<br>X_train_vec = vectorizer.fit_transform(X_train)<br>X_test_vec = vectorizer.transform(X_test)<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>5. \u521b\u5efa\u6734\u7d20\u8d1d\u53f6\u65af\u5206\u7c7b\u5668\uff1a<\/code><\/pre>\n\n\n\n<p>python<br>clf = MultinomialNB()<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>6. \u8bad\u7ec3\u5206\u7c7b\u5668\uff1a<\/code><\/pre>\n\n\n\n<p>python<br>clf.fit(X_train_vec, y_train)<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>7. \u9884\u6d4b\uff1a<\/code><\/pre>\n\n\n\n<p>python<br>y_pred = clf.predict(X_test_vec)<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>8. \u8bc4\u4f30\u5206\u7c7b\u5668\uff1a<\/code><\/pre>\n\n\n\n<p>python<br>accuracy = accuracy_score(y_test, y_pred)<br>print(&#8220;Accuracy:&#8221;, accuracy)<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>9. \u53ef\u89c6\u5316\u7ed3\u679c\uff1a<\/code><\/pre>\n\n\n\n<p>python<br>plt.scatter(range(len(y_test)), y_test, c=y_pred, cmap=&#8221;viridis&#8221;)<br>plt.xlabel(&#8220;Index&#8221;)<br>plt.ylabel(&#8220;True Label&#8221;)<br>plt.title(&#8220;Predicted Label&#8221;)<br>plt.show()<br>&#8220;`<\/p>\n\n\n\n<p>\u4ee5\u4e0a\u4ee3\u7801\u5b9e\u73b0\u4e86\u6734\u7d20\u8d1d\u53f6\u65af\u5206\u7c7b\u5668\uff0c\u5e76\u4f7f\u7528\u62c9\u666e\u62c9\u65af\u5e73\u6ed1\u5904\u7406\u4e86\u6982\u7387\u8ba1\u7b97\u3002\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u6734\u7d20\u8d1d\u53f6\u65af\u5206\u7c7b\u5668\u53ef\u4ee5\u7528\u4e8e\u5783\u573e\u90ae\u4ef6\u5206\u7c7b\u3001\u6587\u672c\u5206\u7c7b\u7b49\u4efb\u52a1\u3002\u4f46\u9700\u8981\u6ce8\u610f\u7684\u662f\uff0c\u6734\u7d20\u8d1d\u53f6\u65af\u5206\u7c7b\u5668\u5728\u5c5e\u6027\u76f8\u5173\u6027\u8f83\u5927\u65f6\u5206\u7c7b\u6548\u679c\u4e0d\u4f73\uff0c\u8fd9\u65f6\u53ef\u4ee5\u8003\u8651\u4f7f\u7528\u534a\u6734\u7d20\u8d1d\u53f6\u65af\u7b49\u6539\u8fdb\u65b9\u6cd5\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u6734\u7d20\u8d1d\u53f6\u65af\uff08Naive Bayes\uff09\u662f\u4e00\u79cd\u57fa\u4e8e\u8d1d\u53f6\u65af\u5b9a\u7406\u548c\u7279\u5f81\u6761\u4ef6\u72ec\u7acb\u5047\u8bbe\u7684\u5206\u7c7b\u65b9\u6cd5\u3002\u5728 Python \u4e2d\uff0c\u6211 [&hellip;]<\/p>\n","protected":false},"author":5,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[32],"tags":[],"class_list":["post-560","post","type-post","status-publish","format-standard","hentry","category-32"],"blocksy_meta":"","_links":{"self":[{"href":"http:\/\/ai.gitpp.com\/index.php\/wp-json\/wp\/v2\/posts\/560","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/ai.gitpp.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/ai.gitpp.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/ai.gitpp.com\/index.php\/wp-json\/wp\/v2\/users\/5"}],"replies":[{"embeddable":true,"href":"http:\/\/ai.gitpp.com\/index.php\/wp-json\/wp\/v2\/comments?post=560"}],"version-history":[{"count":1,"href":"http:\/\/ai.gitpp.com\/index.php\/wp-json\/wp\/v2\/posts\/560\/revisions"}],"predecessor-version":[{"id":561,"href":"http:\/\/ai.gitpp.com\/index.php\/wp-json\/wp\/v2\/posts\/560\/revisions\/561"}],"wp:attachment":[{"href":"http:\/\/ai.gitpp.com\/index.php\/wp-json\/wp\/v2\/media?parent=560"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/ai.gitpp.com\/index.php\/wp-json\/wp\/v2\/categories?post=560"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/ai.gitpp.com\/index.php\/wp-json\/wp\/v2\/tags?post=560"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}