from sklearn.model_selection import train_test_split
时间: 2023-10-05 15:13:07 浏览: 49
从sklearn库中导入train_test_split函数的作用是将数据集划分为训练集和测试集。通过调用该函数,可以将特征数据集X和目标数据集y按照指定的比例进行划分,并返回划分后的四个数据集:训练集特征数据集X_train、测试集特征数据集X_test、训练集目标数据集y_train和测试集目标数据集y_test。其中,参数test_size表示测试集占总样本的比例,random_state是随机种子用于产生随机划分,shuffle表示是否在划分前对数据进行洗牌操作。引用<span class="em">1</span><span class="em">2</span><span class="em">3</span>
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