Boosting Techniques for CS2
Weighted Boosting: Weighted boosting assigns higher weights to misclassified instances during the training process. By emphasizing the difficult instances, it helps the model focus on improving accuracy in challenging scenarios.
Feature Selection Boosting: Feature selection boosting involves identifying and selecting the most relevant features for each weak learner. This technique improves the model’s ability to capture important patterns in the data, leading to better overall performance.
Gradient Boosting: Gradient […]
