LogitBoost with Trees Applied to the WCCI 2006 Performance Prediction Challenge Datasets

We apply LogitBoost with a tree-based learner to the five WCCI 2006 performance prediction challenge datasets. The number of iterations and the tree size is estimated by 10-fold cross-validation. We add a simple shrinkage strategy to make the algorithm more stable. The results are very promising since we won the challenge.