Decision Tree

Decision tree is a predictive modeling technique that uses a tree-like structure of decision nodes and branches to represent and classify observations based on their features or attributes. It recursively partitions the feature space into subsets and makes decisions based on feature values to predict the target variable or outcome. Readers can explore decision tree algorithms, such as CART (Classification and Regression Trees) and ID3 (Iterative Dichotomiser 3), for building classification and regression models, understanding their interpretability, performance, and trade-offs in predictive modeling and decision-making tasks.

Comprehensive roadmap for decision-tree

By roadmap.sh