Data Mining for Statisticians Part 3
This video introduces the concept of regression trees as recursive, piece-wise constant fits in order to identify an underlying response surface. It then walks through an example of a CART model setup using the Boston housing data and discusses the results. Finally, a summary of how this approach simplifies the underlying structure by constructing piece-wise constant models, by segmenting the underlying population into a set of mutually exclusive smaller segments, such that within each segment the overall prediction is a constant and as you go from segment to segment, the prediction changes by a fixed amount.
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