1.Fixed a bug: doing feature selection for bootstrap.
2.compare all error estimators.
1. For std = 0.5,1.0,2.0. Add svm, 3NN, cart
for error estimators: resub, cv10,brNEW,brOLD,bs632,bs_br_mixed.
Also add test2.py to verify my guess that why as std increases, the performance of brNEW degrades. The reason is because we cannot select the right features as std increases,i.e. the signal becomes more noisy.
add test2.py, and result of test2.txt