knn + vc dimension

Used to classify data if the k in knn is =1. then we only use the nearest neighbour to define the category if k=11, then we use the 11 nearest neighbors it's always easier to work with an odd value of k How to pick a value for k? Have to try out a few values of k before settling on one. Do this by pretending that a part of the training data is "unknown". low values for k can be noisy and subject…