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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, 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,
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Management Accounting Information for Decision-Making and Strategy Execution
ISBN: 978-0137024971
6th Edition
Authors: Anthony A. Atkinson, Robert S. Kaplan, Ella Mae Matsumura, S. Mark Young
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