x_train, x_test, y_train, y_test = train_test_split(x_data,y_data, test_size=0.3, random_state=33)

train_test_split()函数用于分割数据集，将给定数据集分为训集和测试集。根引用的描述train_test_split()函数的参数包括Xy（特征和目标变量）、_size（测试集大小）、random_state（随机种子）、shuffle（是否对数据进行洗牌）和stratify（是否按照y的类别进行分层抽样）。

根据您提供的代码，x_data和y_data是输入的特征和目标变量，而test_size=0.3表示测试集占总数据的30%，random_state=33表示使用固定的随机种子33来保证每次运行的结果一致。

因此，根据给定的代码，x_train、x_test、y_train和y_test的赋值可以表示为 x_train, x_test, y_train, y_test = train_test_split(x_data, y_data, test_size=0.3, random_state=33)。这将根据指定的参数将输入数据集进行分割，并将分割后的结果分别赋值给x_train、x_test、y_train和y_test。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
#### 引用[.reference_title]
- *1* [关于x_train, x_test, y_train, y_test = train_test_split(x, y, test_size=0.3, random_state=0)](https://blog.csdn.net/qq_42671928/article/details/121796069)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v93^chatsearchT3_1"}}] [.reference_item style="max-width: 50%"]
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