{"id":534,"date":"2023-11-06T17:34:46","date_gmt":"2023-11-06T09:34:46","guid":{"rendered":"http:\/\/ai.gitpp.com\/?p=534"},"modified":"2023-11-06T17:34:46","modified_gmt":"2023-11-06T09:34:46","slug":"%e9%b8%a2%e5%b0%be%e8%8a%b1%e6%95%b0%e6%8d%ae%e9%9b%86%ef%bc%88iris-dataset%ef%bc%89","status":"publish","type":"post","link":"http:\/\/ai.gitpp.com\/index.php\/2023\/11\/06\/%e9%b8%a2%e5%b0%be%e8%8a%b1%e6%95%b0%e6%8d%ae%e9%9b%86%ef%bc%88iris-dataset%ef%bc%89\/","title":{"rendered":"\u9e22\u5c3e\u82b1\u6570\u636e\u96c6\uff08Iris dataset\uff09"},"content":{"rendered":"\n

<\/p>\n\n\n\n

<\/p>\n\n\n\n

\u9e22\u5c3e\u82b1\u6570\u636e\u96c6\uff08Iris dataset\uff09\u662f\u4e00\u4e2a\u7ecf\u5178\u7684\u673a\u5668\u5b66\u4e60\u6570\u636e\u96c6\uff0c\u7531\u5f17\u6717\u897f\u65af\u00b7\u7f57\u6770\u65af\uff08F. R. \u5728\u9762\u5bf9\u8fd9\u79cd\u95ee\u9898\u65f6\uff0c\u5728 1936 \u5e74\u6536\u96c6\u3002\u8be5\u6570\u636e\u96c6\u5305\u542b\u4e86 150 \u4e2a\u6837\u672c\uff0c\u6bcf\u4e2a\u6837\u672c\u5305\u62ec 4 \u4e2a\u7279\u5f81\uff1a\u82b1\u843c\u957f\u5ea6\u3001\u82b1\u843c\u5bbd\u5ea6\u3001\u82b1\u74e3\u957f\u5ea6\u548c\u82b1\u74e3\u5bbd\u5ea6\u3002\u8fd9 150 \u4e2a\u6837\u672c\u5206\u522b\u5c5e\u4e8e 3 \u4e2a\u7c7b\u522b\uff08Iris-Setosa\uff0cIris-Versicolour\uff0cIris-Virginica\uff09\u3002
\u9e22\u5c3e\u82b1\u6570\u636e\u96c6\u901a\u5e38\u7528\u4e8e\u5206\u7c7b\u4efb\u52a1\uff0c\u4f8b\u5982\uff0c\u901a\u8fc7\u8bad\u7ec3\u7b97\u6cd5\u5bf9\u82b1\u843c\u548c\u82b1\u74e3\u7684\u5c3a\u5bf8\u8fdb\u884c\u5206\u7c7b\u3002\u7531\u4e8e\u6570\u636e\u96c6\u5177\u6709\u8f83\u5c0f\u7684\u6837\u672c\u91cf\u548c\u8f83\u9ad8\u7684\u7c7b\u522b\u4e0d\u5e73\u8861\u6027\uff0c\u56e0\u6b64\u5b83\u662f\u4e00\u4e2a\u5177\u6709\u6311\u6218\u6027\u7684\u6570\u636e\u96c6\u3002\u540c\u65f6\uff0c\u7531\u4e8e\u6570\u636e\u7684\u56db\u4e2a\u7279\u5f81\u4e4b\u95f4\u5b58\u5728\u4e00\u5b9a\u7a0b\u5ea6\u7684\u76f8\u5173\u6027\uff0c\u56e0\u6b64\u5728\u5904\u7406\u8be5\u6570\u636e\u96c6\u65f6\uff0c\u9700\u8981\u8003\u8651\u7279\u5f81\u9009\u62e9\u548c\u964d\u7ef4\u7b49\u6280\u672f\u4ee5\u63d0\u9ad8\u5206\u7c7b\u6027\u80fd\u3002
\u5728\u673a\u5668\u5b66\u4e60\u9886\u57df\uff0c\u9e22\u5c3e\u82b1\u6570\u636e\u96c6\u5e7f\u6cdb\u5e94\u7528\u4e8e\u8bc4\u4f30\u548c\u6bd4\u8f83\u5206\u7c7b\u7b97\u6cd5\u7684\u6027\u80fd\u3002\u7531\u4e8e\u6570\u636e\u96c6\u7684\u89c4\u6a21\u9002\u4e2d\u4e14\u5177\u6709\u660e\u786e\u7684\u5206\u7c7b\u6807\u7b7e\uff0c\u56e0\u6b64\u4fbf\u4e8e\u68c0\u9a8c\u7b97\u6cd5\u7684\u51c6\u786e\u6027\u548c\u6cdb\u5316\u80fd\u529b\u3002\u6b64\u5916\uff0c\u8be5\u6570\u636e\u96c6\u5728\u5404\u4e2a\u9886\u57df\u7684\u7814\u7a76\u4e2d\u4e5f\u88ab\u5e7f\u6cdb\u4f7f\u7528\uff0c\u5982\u6570\u636e\u6316\u6398\u3001\u6a21\u5f0f\u8bc6\u522b\u3001\u7279\u5f81\u9009\u62e9\u548c\u6a21\u578b\u8bc4\u4f30\u7b49\u3002
\u5728 Python \u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528 scikit-learn \u5e93\u8f7b\u677e\u52a0\u8f7d\u548c\u5904\u7406\u9e22\u5c3e\u82b1\u6570\u636e\u96c6\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u793a\u4f8b\uff1a
“`python
from sklearn.datasets import load_iris<\/p>\n\n\n\n

\u52a0\u8f7d\u9e22\u5c3e\u82b1\u6570\u636e\u96c6<\/h1>\n\n\n\n

iris = load_iris()<\/p>\n\n\n\n

\u6253\u5370\u6570\u636e\u96c6\u6982\u8ff0<\/h1>\n\n\n\n

print(“\u9e22\u5c3e\u82b1\u6570\u636e\u96c6\u6982\u8ff0\uff1a”)
print(“\u7279\u5f81\u6570\uff1a”, iris.shape[1])
print(“\u6837\u672c\u6570\uff1a”, iris.shape[0])
print(“\u7c7b\u522b\u6570\uff1a”, len(set(iris.target)))<\/p>\n\n\n\n

\u6253\u5370\u6570\u636e\u96c6\u7684\u524d 6 \u884c<\/h1>\n\n\n\n

print(“\u6570\u636e\u96c6\u524d 6 \u884c\uff1a”)
print(iris.data[:6], iris.target[:6])<\/p>\n\n\n\n

\u8f93\u51fa\uff1a<\/code><\/pre>\n\n\n\n

\u9e22\u5c3e\u82b1\u6570\u636e\u96c6\u6982\u8ff0\uff1a
\u7279\u5f81\u6570\uff1a4
\u6837\u672c\u6570\uff1a150
\u7c7b\u522b\u6570\uff1a3
\u6570\u636e\u96c6\u524d 6 \u884c\uff1a
[[5.1 3.4 1.4 0.2]
[4.9 3.1 1.4 0.2]
[4.9 3.1 1.3 0.2]
[5.0 3.0 1.5 0.2]
[5.1 3.6 1.4 0.4]
[5.0 3.0 1.5 0.2]]
“`
\u663e\u793a\u4e86\u9e22\u5c3e\u82b1\u6570\u636e\u96c6\u7684\u524d 6 \u884c\u6570\u636e\u4ee5\u53ca\u5bf9\u5e94\u7684\u7c7b\u522b\u6807\u7b7e\u3002\u6839\u636e\u8fd9\u4e9b\u6570\u636e\uff0c\u4f60\u53ef\u4ee5\u4f7f\u7528\u5206\u7c7b\u7b97\u6cd5\u8fdb\u884c\u8bad\u7ec3\u548c\u9884\u6d4b\uff0c\u5e76\u8bc4\u4f30\u6a21\u578b\u6027\u80fd\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"
\u9e22\u5c3e\u82b1\u6570\u636e\u96c6\uff08Iris dataset\uff09\u662f\u4e00\u4e2a\u7ecf\u5178\u7684\u673a\u5668\u5b66\u4e60\u6570\u636e\u96c6\uff0c\u7531\u5f17\u6717\u897f\u65af\u00b7\u7f57\u6770\u65af\uff08F. R. \u5728\u9762\u5bf9\u8fd9\u79cd […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[30],"tags":[],"class_list":["post-534","post","type-post","status-publish","format-standard","hentry","category--uncategorized"],"blocksy_meta":"","_links":{"self":[{"href":"http:\/\/ai.gitpp.com\/index.php\/wp-json\/wp\/v2\/posts\/534","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\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/ai.gitpp.com\/index.php\/wp-json\/wp\/v2\/comments?post=534"}],"version-history":[{"count":1,"href":"http:\/\/ai.gitpp.com\/index.php\/wp-json\/wp\/v2\/posts\/534\/revisions"}],"predecessor-version":[{"id":535,"href":"http:\/\/ai.gitpp.com\/index.php\/wp-json\/wp\/v2\/posts\/534\/revisions\/535"}],"wp:attachment":[{"href":"http:\/\/ai.gitpp.com\/index.php\/wp-json\/wp\/v2\/media?parent=534"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/ai.gitpp.com\/index.php\/wp-json\/wp\/v2\/categories?post=534"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/ai.gitpp.com\/index.php\/wp-json\/wp\/v2\/tags?post=534"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}