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r/T are compression ratio & compression time for the target algorithm
rb/Tb are compression ration & compression time for a standard algorithm (in this case use gzip)
Develop a similar metric for phonetic algorithms--
involving T (obviously) and something like vocabulary(?)
standard algorithm == American Soundex?
Develop a similar metric for distance--
involving T (obviously) and ... something like normalized distance(?)
standard algorithm == normalized Levenshtein
The text was updated successfully, but these errors were encountered:
My intended use is something like:
Scoring PAs, with MCC as r and avg runtime as T. But it's unclear whether this will be terribly useful for evaluating various algorithms.
Place in narmer.stats.
W = alpha * r/rb * log(Tb)/log(T)
r/T are compression ratio & compression time for the target algorithm
rb/Tb are compression ration & compression time for a standard algorithm (in this case use gzip)
Develop a similar metric for phonetic algorithms--
involving T (obviously) and something like vocabulary(?)
standard algorithm == American Soundex?
Develop a similar metric for distance--
involving T (obviously) and ... something like normalized distance(?)
standard algorithm == normalized Levenshtein
The text was updated successfully, but these errors were encountered: