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How to Determine the Prediction Power of an Attribute?

  • Ex. A customer table D:
    • Two dimensions Z: Time (Month, Year ) and Location (State, Country)
    • Two features X: Gender and Salary
    • One class-label attribute Y: Valued Customer
  • Q: “Are there times and locations in which the value of a customer depended greatly on the customers gender (i.e., Gender: predictiveness attribute V)?”
  • Idea:
    • Compute the difference between the model built on that using X to predict Y and that built on using X – V to predict Y
    • If the difference is large, V must play an important role at predicting Y

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