We all know that given reasonable data, a good predictive modeler can build a model that works well and helps make makes better decisions than what is currently used in your organization (at least in our own minds). Newer data, sophisticated algorithms, and a seasoned analyst are all working in our favor when we build these models, and if success were measured by accuracy (as they are in most data mining competitions), we’re in great shape. Yes, there are always gotchas and glitches along the way. But when my deliverable is only slideware, even of the modeling is hard, I’m
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