(Part 3 of 11 of the Top 10 Data Mining Mistakes, drawn from the Handbook of Statistical Analysis and Data Mining Applications) -John Elder (firstname.lastname@example.org) “To a little boy with a hammer, all the world’s a nail.” All of us have had colleagues (at least) for whom the best solution for a problem happens to be the type of analysis in which they are most skilled! For many reasons, most researchers and practitioners focus too narrowly on one type of modeling technique. But, for best results, one needs a whole toolkit. At the very least, be sure to compare any
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