Implementing AdaBoost with Decision Tree Stumps Using MATLAB
Algorithm Overview
The AdaBoost (Adaptive Boosting) ensemble technique combines multiple weak learners to form a robust predictive model. In this implementation, the weak learner is a Decision Stump—a decision tree with a maximum depth of one. The process involves iterative training these stumps on weighted data samples, where misclassified ins ...
Posted on Thu, 27 Aug 2026 16:41:26 +0000 by swon