Python train_test_split: Why Split Data?

The train_test_split function is a tool used to separate a dataset into a training set and a test set. In machine learning, it is common practice to divide the dataset into a training set for model training and a test set for evaluating the model’s performance.

The train_test_split function can assist us in randomly dividing the data set, allowing us to specify the splitting ratio and random seed to ensure consistent results each time. This helps ensure that the distributions of the training and test sets are similar, thus enabling better evaluation of the model’s performance.