from sklearn.model_selection import train_test_split

The train_test_split function is used to split a dataset into two sets - a training set and a testing set. The function takes as input the dataset to be split, as well as the proportion of the dataset to be used for testing. The function then randomly splits the dataset into two sets, with the specified proportion of the data used for testing. This is a common technique used in machine learning to evaluate the performance of a model on data that it has not been trained on.

相关问题

from sklearn. model_selection import train_test_split

from sklearn.model_selection中的train_test_split函数是用于将数据集分成训练集和测试集的函数。它可以帮助我们在训练模型之前评估模型的性能。该函数将数据集随机分成两个部分，一部分用于训练模型，另一部分用于测试模型。这样可以避免模型过度拟合训练数据，从而提高模型的泛化能力。

From sklearn.model_selection import train_test_split

This is a Python code that imports the train_test_split function from the sklearn library's model_selection module. This function is commonly used in machine learning to split a dataset into training and testing sets for model evaluation.