About Machine Learning ( Part 4: Decision Tree )
A Decision Tree is a supervised learning algorithm used for both classification and regression tasks. It organizes data into a tree-like structure, where each internal node represents a decision based on a feature, and each leaf node provides a prediction. Decision trees are simple, interpretable, and capable of handling both categorical and numerical data.
Classification Tree
A Classification Tree is a decision tree used for classifying data into distinct categories or classes. The main objective of a classification tree is to predict the category or class to which a given input belongs based on various features.
