Suppose that a model uses, as one feature, the total number of kilometers walked by a person during a year, and another feature is the height of the person in meters. What is the most likely effect of normalization of the input data?

$1$ point It won't have any positive or negative effects.

It will make the training faster.

It will increase the variance of the model.

It will make the data easier to visualize.