Pruning in Decision Trees

# Pruning in Decision Trees: Mastering Model Complexity for Enhanced Accuracy Decision Trees are powerful and intuitive machine learning algorithms used for both classification and regression tasks. However, their very nature – recursively partitioning data – can lead to complex, overfit models that perform poorly on unseen data. This is where **pruning in decision trees** comes to the rescue. In this comprehensive guide, you'll learn how to strategically prune decision trees to build more r