I found this very informative figure, on how to split the dataset depending on how much data (or how many observations to be more precise) you have.
My question is, since "less data" is very subjective, is there a statistical test you can perform or even a rule of thumb on which split to follow?
My current problem is a classification problem with 145 observations, 22 features, 2 labels (18-True, 127-False), but I'm interested on the general approach.
Thank you.