Information gain

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The information gain is a purity criterion which is based on the entropy of a random variable.

See also

References

  • Quinlan, J. Ross (1993). C4.5: Programs for Machine Learning. Morgan Kaufman Publishers Inc., San Francisco, CA, USA.