Adata scientist makes his argument for using trees and random forests: “trees and random forests are superior to machine learning methods, such as support vector machines and neural networks, because trees are unaffected by monotonic transformations of the explanatory variables.” how would you go about testing the transformation-invariance argument (with python and scikit-learn, for example) ?