Small update: In the orig code example in the paper, tie breaking was based on the lowest class label index, i.e., it was biased towards class 0. When I fixed the tie-breaking to select the closest neighbor, I could get a 70.05% -> 71.91% improvement (
https://
github.com/rasbt/nn_plus_
gzip
…).
Tie-breaking fix improves nearest neighbor classification accuracy to 71.91%
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