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  1. woodlumn

    scoring records that were used in training/validation

    Hello, I have a question pertaining to data partitioning, model training, and ultimately, scoring a data set (predictive modeling). The heart of the question is this: If you have a population of 20,000 divided up into training/validating/testing (40/30/30) for modeling purposes, is it...
  2. woodlumn

    strange numbers in the P_ column (scoring/insight)

    Hello, I am attempting to score my regression model within Enterprise Miner and am getting weird numbers in the two right-most columns (P_respondY and P_respondN). I have done this successfully in the past, and these numbers have looked like probabilities/percentages (such as .432 etc). This...

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