Python train_test_split Explained: Purpose & Usage

train_test_split is used to divide a dataset into training and testing sets. By splitting the dataset into training and testing sets, it allows for training the model using the training set and then evaluating the model’s performance using the test set. This effectively assesses the model’s generalization ability on new data and helps prevent overfitting. train_test_split can also be used for cross-validation and other model evaluation methods.