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I’m making a decision tree using the classregtree(X,Y) function. I’m passing X as a matrix of size 70X9 (70 data objects, each having 9 attributes), and Y as a 70X1 matrix. Each one of my Y values is either 2 or 4. However, in the decision tree formed, it gives values of 2.5 or 3.5 for some of the leaf nodes.
Any ideas why this might be caused?
You are using classregtree in regression mode (which is the default mode).
Change the mode to classification mode.