Decision Trees for Classification: An AI Algorithm

Decision Trees for Classification: An AI Algorithm

When building a decision tree, classification algorithms such as the Gini Index are used to evaluate the splits between the different classes available. This algorithm looks for which split will have the least amount of variation in class membership across its branches. Evaluation metrics such as accuracy, precision, and recall are important for determining how successful a decision tree is in classification tasks. Additionally, feature selection and pruning techniques can also help build more accurate decision trees.

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