I've seen in a kaggle challenge about digit recognition someone who used pcaPCA before decision tree or other techniques.
I thought it was just for compressing data but he aimed to improve his score.
How can pcaPCA improve score in this case ? Is it because there is less over-fittingoverfitting ?