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Predict business startups success example How to do it

Predict business startups success example How to do it ORE applied to Startups development came up when we read examples of “archival analyses” on startups. Researchers used data mining to show that: board “age”, “gender”, “capital”, “IP” and finally “race” have insignificant effects (after 5 years) on either merger/acquisition rate OR survival of operations of startups. Those results left the authors of the research (Kaufmann Foundation) with the feeling that “something was missing” in this type of analyses. Those results…

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