f can be any arbitrary functiuon such as x**2

(python)

In this problem, you are asked to use decision trees for regression with two different target loss functions: minimum square error and minimum absolute error. Design a function f:[0,1][0,1] such that when you sample input points Xi from [0,1] and use the sequence (Xi,f(Xi)) as your input, you are likely to see the difference between the two loss functions with six leafs (i.e., with max_leaf_nodes=6). Among other things, your solution should contain: a. a plot of f and the two functions resulting from the training process under different loss functions