force overwriting of symbolic links to *rootmap* such that one can also switch between different TMVA verions
adapt also the example files to the new option names
Make Bagged Sample use for AdaBoost and GradBoost being called by the same option named *UseBaggedBoost* instead of *UseBaggedGrad* and replace the *random subsample* by a true resampled(bagged) sample
fixed problem with deleting the training sample right after train, when using OptimizeConfigparameters AND introduced boost stopping if error rate > 0.5