We have done Boosting for Regression and Classification using the UCI Dataset.
Three boosting algorithms for Linear Regression. Each of the weak learners are trained on Concrete Dataset by randomly selecting 2 features among 8 (Total number of features).
Gradient Boosting Frank-Wolfe Boosting AdaBoost Regressor
Here, we test the performance of different boosting algorithms for Classification on the UCI breast cancer dataset. The three algorithms compared here are:
Adaboost Logitboost Frank-Wolfe boost
The dataset can be downloaded from the UCI Website.