this uh this introduction of noise uh to make it more generalizable how does this generalize better so if you think of this data point right here if i'm looking to generalize that means you know i have this iid data set so probably my test data is going to be related to the training data so i might get a data point that's fairly close to that data point and generalizing means i classify it correctly now if this cloud is very small like it is here my decision boundary could be like here right and even though the