Greetings -
Is there a way to automatically perform what I believe is called "rule
extraction" (by Quinlan and the machine learning community at least) for
the leaves of trees generated by rpart? I can use path.rpart() to
automatically extract the paths to the leaves, but these can be
needlessly cumbersome. For example, one path returned by path.rpart()
might be:
[1] "root" "y>=-0.1905" "y< 0.1495" "z>=-0.19" "z< 0.1785"
[6] "y>=-0.1385" "z>=-0.153" "x< 0.37" "x>=-0.363"
But the y >= -0.1905 and z>=-.19 are both redundant, given restrictions
placed further down the tree. Simplifying the paths by hand is feasible
for small trees but quite cumbersome when dimensionality increases. I
can think of ways to write code to do this automatically, but would
prefer not to if it's already implemented. I have done extensive
searching and turned up nothing, but I fear I might just be lacking the
right terminology. Any thoughts?
Much appreciated,
-Ben
Ben Bryant
Doctoral Fellow
Pardee RAND Graduate School
[EMAIL PROTECTED]
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