Build gradient boosting trees sequentially, with a smaller learning rate

[ClimbsRocks]

and stop whenever we hit validation accuracy max.

should be pretty easy to do for sklearn, might even be possible to do for xgboost and lightgbm.

[ClimbsRocks]

done for sklearn. opening separate requests for xgb and lgb, since they take different approaches.