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Information gain (decision tree)
- Value
- 50 W
- Attack
- 733
- Defence
- 587
- Players
- 0
In the context of decision trees in information theory and machine learning, information gain refers to the conditional expected value of the Kullback–Leibler divergence of the univariate probability distribution of one variable from the conditional distribution of this variable given the other…
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