Tree For High Computational Costs

This post is to show that the Matlab Decision tree algorithm is able to account for compuational cost if I use the metaplanning cost as the response function. It is obvious if we use the compute all (i.e. optimal cost) it will not account for the cost of computation. The tree generated using the compute all cost would be the same regardless of computational cost. They would look like the trees in my previous post, whilst the tree generated using metaplanning does respond in the correct fashion, and is given here.