For this, the data must first be divided into a larger training set and a smaller test set—the former is used for the model to learn, and the latter is used to check its reliability.

There are 200 training data items and 40 test items. When using linear support vector regression, technically, it's not necessary to normalize/scale your data. But normalizing usually leads to a ...