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A Course in Statistics With R
Recursive partitioning algorithms separate a feature space into a set of disjoint rectangles. Then, usually, a constant in every partition is fitted. While this is a simple and intuitive approach, it may still lack interpretability as to how a specific relationship between dependent and independent variables may look. Or it may be that a certain model is assumed or of interest and there is a number of candidate variables that may non-linearly give rise to different model parameter values. Wedoi:10.1002/9781119152743.ch17 fatcat:3x7rob4ldjcinmuio7kqwielnq