Quote:
Originally Posted by rsridharan
I encountered some difficulty with the home work #6 , especially for problems 2, 3, 4,5 and 6.
I am not clear on how you define classification error, which is a dimesionless fraciton of the misscalssified pointes, also having a dimension in Euclidean distance.

Hi,
I think I see the source of confusion. The classification error is correctly how you define it, and indeed it is a dimensionless quantity. The Euclidean distance mentioned in the homwork is just a way to specify "closest" when the answer has two numbers that we want to be close to simultaneously, so we just apply the Euclidean distance (square root of the sum of squared differences) as a way to quantify closeness into a single number.