In a regression model, what is a feature and what is a label?

When you want to train a regression model based on historical data, which are the two subsets into which you split the data sample?

True or False? In machine learning, the difference between a predicted label value and the actual value is known as “the residuals”.

To randomly split the data between training and validation subsets, you can use the train_test_split function. In which python library can you find this function?

This evaluation metric yields a relative metric in which the smaller the value, the better the fit of the model. Which evaluation metric is described above?