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Alternative Measures for Selecting Attributes

  • Natural bias in the information gain measure favours attributes with many values over those with few values (e.g. a “Date” – field)
  • Example:
    • Date – attributes has (too) many possible values; thus it separates the training examples into very small subsets.
    • It would have a very high information gain.
    • But it would be a very poor predictor of the target function over unseen instances

  • Alternative selection measure: gain ratio (see [5]).

Speaker notes:

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