Random Forests are an ensemble learning method widely used in artificial intelligence (AI) for classification and regression tasks. This technique builds upon the concept of decision trees, combining the predictions of multiple trees to enhance accuracy and robustness. By leveraging the strengths of individual decision trees while mitigating their weaknesses, Random Forests have become a Read More …
Tag: Decision Trees
Decision Trees in Artificial Intelligence
Decision trees are a popular and intuitive method used in artificial intelligence (AI) for classification and regression tasks. They represent a model in the form of a tree-like structure, where each internal node corresponds to a decision based on an input feature, each branch represents the outcome of that decision, and each leaf node signifies Read More …