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,