how many neighbors? normalize?

• N=1 : normalize nums min..max 0..1
• k=K : use mean of kth nearest neighbors
• data sets : desharnais, autompg, nasa93, finnish, miyazaki94, china, coc81
• results : mre
• small effect size : median of numbers bottom third (max(mre) - min(mre))/3

results: http://unbox.org/stuff/var/timm/12/dash/var/egknn.out

note the 010101 patterns on everything except china which is 1111110000000

• normally normalization does not matter
• but when it matters, it really matters

in the n=1 results

• k=1 has less error in 6/7 data sets (exception: desharnais)

conclusion: k=1 a good default