-
Information Gain In Decision Tree.
Information Gain Table Of Contents: What Is Information Gain? Example Of Information Gain. (1) What Is Information Gain? Information gain is a measure used in decision tree algorithms to determine the best feature to split the data. It quantifies how much information a particular feature contributes to reducing the entropy or impurity within a node. The information gain is calculated by comparing the entropy of the parent node (before the split) with the weighted average of the entropies of the child nodes (after the split), considering each possible outcome of the feature being evaluated. A higher information gain indicates that
