Decision tree in machine learning

This presentation explores decision trees, a foundational concept in machine learning. We begin by introducing decision trees, their definition, core principles, and applications. Next, the construction process is analyzed, covering feature selection, tree splitting, and stopping criteria. Strengths, limitations, and use cases are discussed, alongside advanced techniques like ensemble methods and pruning for optimization. Finally, practical applications are reviewed, showcasing real-world...