Pred(25) and loss values as well as comparison of algorithms&datasets of 3 points over all datasets are here.
New 30+ datasets for checking is here.
Bolstering: Is it inverse of boosting?
Boosting is supervised - Neither TEAK nor Compass is supervised
Boosting is a set of weak learners - TEAK and Compass are like cascading of one algorithm
Boosting weights the instances in a way (sending the misclassifieds to next weak learner) - TEAK and Compass also weights instances (0-1 weighting, keep or eliminate for the next round)
Boosting similar algorithms that are sometimes confused are called "leveraging algorithms" (need to read more on this)